{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Modelagem por tópicos notícias mediacloud sobre ANATEL"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Tópicos disponível em: https://github.com/fabsfernandes/regulatory-agencies/blob/master/ANATEL/mediacloud-analysis/option1/media-anatel-option1-topics.csv\n",
    "##### Thetas disponível em: https://github.com/fabsfernandes/regulatory-agencies/blob/master/ANATEL/mediacloud-analysis/option1/media-anatel-option1-thetas.csv"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Opção 1: 30 tópicos, algoritmo LDA, API Mallet, alpha 0.001"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Importando pacotes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Enable logging and ignore warnings\n",
    "import logging\n",
    "logging.basicConfig(format='%(asctime)s : %(levelname)s : %(message)s', level=logging.ERROR)\n",
    "import warnings\n",
    "#warnings.filterwarnings(\"ignore\")\n",
    "warnings.filterwarnings(\"ignore\",category=DeprecationWarning)\n",
    "\n",
    "\n",
    "import nltk; \n",
    "#nltk.download('stopwords')\n",
    "\n",
    "import re\n",
    "warnings.filterwarnings(\"ignore\",category=DeprecationWarning)\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from pprint import pprint\n",
    "\n",
    "# Gensim\n",
    "import gensim\n",
    "import gensim.corpora as corpora\n",
    "from gensim.utils import simple_preprocess\n",
    "from gensim.models import CoherenceModel\n",
    "from gensim.models import Phrases\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "# Plotting tools\n",
    "import pyLDAvis\n",
    "import pyLDAvis.gensim\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Load dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>website</th>\n",
       "      <th>url</th>\n",
       "      <th>publication_date</th>\n",
       "      <th>title</th>\n",
       "      <th>text</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>12027</th>\n",
       "      <td>5411757</td>\n",
       "      <td>Estadão</td>\n",
       "      <td>https://opiniao.estadao.com.br/noticias/geral,...</td>\n",
       "      <td>2018-07-17T03:00:00-03:06</td>\n",
       "      <td>Fórum dos Leitores</td>\n",
       "      <td>IDOSOS PROVEDORES  Reforma da Previdência  On...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12028</th>\n",
       "      <td>5415864</td>\n",
       "      <td>Estadão</td>\n",
       "      <td>https://economia.estadao.com.br/noticias/negoc...</td>\n",
       "      <td>2018-07-18T17:27:00-03:06</td>\n",
       "      <td>Fundos de investimento vão à Justiça para par...</td>\n",
       "      <td>Três fundos de investimento entraram na Justi...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12029</th>\n",
       "      <td>5417481</td>\n",
       "      <td>g1</td>\n",
       "      <td>https://g1.globo.com/pe/pernambuco/noticia/201...</td>\n",
       "      <td>2018-07-19T14:52:17+00:00</td>\n",
       "      <td>Cinco pessoas são detidas e 14 quilos de cobr...</td>\n",
       "      <td>Foram apreendidos 20 quilos de cobre em Olind...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            id  website                                                url  \\\n",
       "12027  5411757  Estadão  https://opiniao.estadao.com.br/noticias/geral,...   \n",
       "12028  5415864  Estadão  https://economia.estadao.com.br/noticias/negoc...   \n",
       "12029  5417481       g1  https://g1.globo.com/pe/pernambuco/noticia/201...   \n",
       "\n",
       "                publication_date  \\\n",
       "12027  2018-07-17T03:00:00-03:06   \n",
       "12028  2018-07-18T17:27:00-03:06   \n",
       "12029  2018-07-19T14:52:17+00:00   \n",
       "\n",
       "                                                   title  \\\n",
       "12027                                 Fórum dos Leitores   \n",
       "12028   Fundos de investimento vão à Justiça para par...   \n",
       "12029   Cinco pessoas são detidas e 14 quilos de cobr...   \n",
       "\n",
       "                                                    text  \n",
       "12027   IDOSOS PROVEDORES  Reforma da Previdência  On...  \n",
       "12028   Três fundos de investimento entraram na Justi...  \n",
       "12029   Foram apreendidos 20 quilos de cobre em Olind...  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('/Users/fabiola/Desktop/FGV/ANATEL/mediacloud-analysis/media_anatel_export_final_order.csv')\n",
    "df.tail(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "### No total de notícias com duplicatas: 12030\n"
     ]
    }
   ],
   "source": [
    "print('### No total de notícias com duplicatas:', len(df))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Remove duplicated news"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "### No total de notícias sem duplicatas: 11092\n"
     ]
    }
   ],
   "source": [
    "df.set_index('id', inplace=True)\n",
    "df.drop_duplicates(subset='title', inplace=True)\n",
    "print('### No total de notícias sem duplicatas:', len(df))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "## TODO: run if enough time!!\n",
    "\n",
    "from difflib import SequenceMatcher\n",
    "\n",
    "def similar(a, b):\n",
    "    return SequenceMatcher(None, a, b).ratio()\n",
    "\n",
    "to_be_droped = []\n",
    "for index1, row in df.iterrows():\n",
    "    for index2, row in df.iterrows():\n",
    "        n1 = df.get_value(index1,'text')\n",
    "        n2 = df.get_value(index2,'text')\n",
    "        try:\n",
    "            if similar(n1,n2) > 0.7:\n",
    "                to_be_droped.append(index2)\n",
    "        except TypeError:\n",
    "            # do nothing\n",
    "            print('error in', index1, index2)\n",
    "print(to_be_droped)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### NLP Pipeline - Pré-processamento e limpeza dos documentos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# NLTK Stop words\n",
    "from nltk.corpus import stopwords\n",
    "stop_words = stopwords.words('portuguese')\n",
    "stop_words.extend([\n",
    "    'ser','sao','sera','serao','serem','ha', 'sendo',\n",
    "    'esta','estao','estara','estar','terao','ter','tera','pode','podem','deve','devem','devera','deverao','podera','fez','vem','quer',\n",
    "    'vai','disse','fazer','vao','vamos','acho','preciso','ficar','falar','diz','afirmou','faz',\n",
    "    'nesta','neste','desse','nesse','deste','destes','desses','nesses','desta','nessa','dessa',\n",
    "    'cada','todo','todos','toda','todas','qualquer','outros','outro','outras','outra','quanto','alguns','algum','mesma','mesmo','nada',\n",
    "    'tais','quais','tudo','cerca','maior','menor',\n",
    "    'nº','nº','ii','iii',\n",
    "    'nao','ja','tambem','porque','ainda','apenas','entao','pois','sempre','assim',\n",
    "    'sobre','ate','durante','alem','desde','sob','apos','contra','onde',\n",
    "    'voce','aqui','hoje',\n",
    "    'getdata','var','function','return','tostring','window','clique_aqui','feira','ml',\n",
    "    'en','la','los','ai',\n",
    "    'anatel','telefonia',\n",
    "    'jl_zz', 'ss', 'js_ls', 'oz_ss', 'kql', 'i_', 'il', 'il_this', 'ij_this', 'jl', 'zz', 'js', 'ls', 'oz', 'ss', 'i', 'il', 'ij', 'lz','sl', 'ol',\n",
    "    'string', 'fromcharcode', 'length', 'arguments', 'push',\n",
    "    'si', 'ie', 'rgb', 'typeof', 'ie', 'apply', 'android', 'test', 'sz', 'iz', 'cdata', 'lj', 'mobi', 'attachevent', 'el',\n",
    "    'new', 'date', 'lo', 'void', 'li', 'o_', 'o',\n",
    "    'zi', 'vi', 'et', 'if', 'l', 'z', 'j', 'z_', 'j_', 'null', 'this', 'jj', 'zj', 'sj', 'll', 'ji', 'exec',\n",
    "    #'pe', 'ma', 'pi', 'mt', 'pa', 'sp', 'rj', 'es', 'mg', 'ba', 'pr', 'rs', 'ce', 'go', 'sc',\n",
    "    #'goias', 'piaui', 'maranhao', 'minas', 'norte', 'sul',\n",
    "    #'janeiro', 'fevereiro', 'marco', 'abril', 'maio', 'junho', 'julho', 'agosto', 'setembro', 'outubro', 'novembro', 'dezembro',\n",
    "    #'agencia', 'nacional', 'assessoria',\n",
    "    #'quarta', 'quinta', 'sexta', 'terca', 'segunda',\n",
    "    #'dias', 'paulo', 'rio',\n",
    "    #'silva', 'brasilia', 'social', 'partir',\n",
    "    ])\n",
    "\n",
    "# Convert to list\n",
    "data = df['text'].values.tolist()\n",
    "\n",
    "data = [sent if not pd.isnull(sent) else '' for sent in data]\n",
    "#data = [sent for sent if not pd.isnull(sent) else '-' for sent in data ]\n",
    "\n",
    "# Remove Emails\n",
    "data = [re.sub('\\S*@\\S*\\s?', '', sent) for sent in data if not pd.isnull(sent)]\n",
    "\n",
    "# Remove new line characters\n",
    "data = [re.sub('\\s+', ' ', sent) for sent in data]\n",
    "\n",
    "# Remove distracting single quotes\n",
    "data = [re.sub(\"\\'\", \"\", sent) for sent in data]\n",
    "\n",
    "\n",
    "# Convert to words (tokenize)\n",
    "def sent_to_words(sentences):\n",
    "    for sentence in sentences:\n",
    "        yield(gensim.utils.simple_preprocess(str(sentence), deacc=True))  # deacc=True removes punctuations\n",
    "\n",
    "data_words = list(sent_to_words(data))\n",
    "\n",
    "\n",
    "# Build bigram and trigram models\n",
    "bigram = gensim.models.Phrases(data_words, min_count=5, threshold=100)\n",
    "trigram = gensim.models.Phrases(bigram[data_words], threshold=100)  \n",
    "bigram_mod = gensim.models.phrases.Phraser(bigram)\n",
    "trigram_mod = gensim.models.phrases.Phraser(trigram)\n",
    "\n",
    "\n",
    "# Define functions for stopwords, bigrams, trigrams\n",
    "def remove_stopwords(texts):\n",
    "    return [[word for word in simple_preprocess(str(doc)) if word not in stop_words] for doc in texts]\n",
    "\n",
    "def make_bigrams(texts):\n",
    "    return [bigram_mod[doc] for doc in texts]\n",
    "\n",
    "def make_trigrams(texts):\n",
    "    return [trigram_mod[bigram_mod[doc]] for doc in texts]\n",
    "\n",
    "# Remove Stop Words\n",
    "data_words_nostops = remove_stopwords(data_words)\n",
    "\n",
    "# Form Bigrams\n",
    "data_words_trigrams = make_trigrams(data_words_nostops)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Criação do dicionário e corpus"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "### No total de palavras diferentes: 25451\n",
      "### No total de palavras: 1944054\n"
     ]
    }
   ],
   "source": [
    "# Create Dictionary\n",
    "id2word = corpora.Dictionary(data_words_trigrams)\n",
    "\n",
    "# filter by frequency\n",
    "id2word.filter_extremes(no_below=4, no_above=0.6)\n",
    "\n",
    "# Create Corpus\n",
    "texts = data_words_trigrams\n",
    "\n",
    "# Term Document Frequency\n",
    "corpus = [id2word.doc2bow(text) for text in texts]\n",
    "\n",
    "# Human readable format of corpus (term-frequency)\n",
    "## [[(id2word[id], freq) for id, freq in cp] for cp in corpus[:100]]\n",
    "\n",
    "print('### No total de palavras diferentes:', len(id2word))\n",
    "\n",
    "total = 0\n",
    "for cp in corpus:\n",
    "    for id, freq in cp:\n",
    "        total += freq\n",
    "print('### No total de palavras:', total)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "cp = []\n",
    "for (id_,item) in id2word.items():\n",
    "    cp.append(item)\n",
    "cp.sort()\n",
    "\n",
    "with open('temp.txt', 'w') as f:\n",
    "    for item in cp:\n",
    "        f.write(\"%s\\n\" % item)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Criando o modelo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "num_topics = 30"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "mallet_path = '/Users/fabiola/Downloads/mallet-2.0.8/bin/mallet'\n",
    "ldamallet = gensim.models.wrappers.LdaMallet(mallet_path, corpus=corpus, \n",
    "                                             num_topics=num_topics, \n",
    "                                             alpha=0.001,\n",
    "                                             iterations=300, \n",
    "                                             topic_threshold=0.7,\n",
    "                                             id2word=id2word) \n",
    "\n",
    "ldamallet.save('media-anatel-option1-ldamalletmodel')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Visualizando os resultados"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
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\"commware_tecnologia_sistemas_ltda\", \"quandt\", \"problemas_detectados\", \"miro\", \"maringa_pr\", \"beneficiadas\", \"wajnberg\", \"comunidade_cientifica\", \"baixada_santista\", \"escolas\", \"camara_municipal\", \"paralisacao\", \"secao\", \"ministerio\", \"comunicacoes_miro_teixeira\", \"requerimento\", \"espionagem\", \"comunicacoes\", \"ministro\", \"telebras\", \"telefonica\", \"termo\", \"licitacao\", \"municipios\", \"presidente\", \"ministerios\", \"governo\", \"publico\", \"segundo\", \"empresas\", \"estado\", \"servicos\", \"banda_larga\", \"decisao\", \"empresa\", \"paulo\", \"brasil\", \"processo\", \"servico\", \"caso\", \"contratos\", \"dia\", \"area\", \"acordo\", \"justica\", \"fixa\", \"ano\", \"operadoras\", \"setor\", \"oi\", \"milhoes\", \"cento\", \"teledensidade\", \"quarto_trimestre\", \"retracao\", \"adicao\", \"trimestre\", \"recuo\", \"acessos\", \"ante\", \"cresceu\", \"encerrou\", \"ibovespa\", \"subiu\", \"cem_habitantes\", \"ibge\", \"pn\", \"novas_habilitacoes\", \"linhas_ativas\", \"registrou\", \"petrobras_pn\", \"comparacao\", \"minerio\", \"queda\", \"market_share\", \"avancou\", \"alta\", \"tude\", \"ipc\", \"inativos\", \"pos_pagas\", \"crescimento\", \"recuou\", \"densidade\", \"desaceleracao\", \"lideranca\", \"terminou\", \"assinantes\", \"milhoes\", \"linhas\", \"caiu\", \"divulgados\", \"base\", \"seguida\", \"ano\", \"mes\", \"mil\", \"numero\", \"passado\", \"total\", \"periodo\", \"mercado\", \"clientes\", \"celulares\", \"moveis\", \"dados\", \"janeiro\", \"segundo\", \"claro\", \"reducao\", \"aumento\", \"vivo\", \"tim\", \"brasil\", \"servicos\", \"movel\", \"pais\", \"tv\", \"oi\", \"banda_larga\", \"celular\", \"nono_digito\", \"digito\", \"oito_digitos\", \"versao_gratuita\", \"completadas\", \"discagem\", \"cem_habitantes\", \"ddds\", \"roraima\", \"medicoes\", \"nove_digitos\", \"ddd\", \"paraiba_pernambuco_piaui\", \"amapa\", \"teledensidade\", \"digitos\", \"completada\", \"acrescentar_codigo\", \"agendas\", \"velocidade_instantanea\", \"maranhao\", \"acrescimo\", \"disponibilidade\", \"santa_catarina_parana\", \"seguinte_formato_xxxx_xxxx\", \"alagoas_amazonas_amapa_bahia\", \"contatos\", \"amapa_maranhao\", \"gratuidade\", \"app\", \"linhas_ativas\", \"numeros\", \"linhas\", \"estados\", \"orelhoes\", \"mato_grosso\", \"acessos\", \"celulares\", \"espirito_santo\", \"milhoes\", \"distrito_federal\", \"numero\", \"sul\", \"janeiro\", \"rio\", \"chamadas\", \"mes\", \"partir\", \"movel\", \"queda\", \"total\", \"ligacoes\", \"celular\", \"tim\", \"paulo\", \"crescimento\", \"ano\", \"pais\", \"usuarios\", \"segundo\", \"mil\", \"oi\", \"claro\", \"operadoras\", \"brasil\", \"vivo\", \"mercado\", \"quilometro\", \"lentidao\", \"viaduto\", \"cet\", \"marginal\", \"rodovia\", \"quilometros\", \"guarulhos\", \"manaus\", \"tiete\", \"capital_baiana\", \"ponte\", \"avenida\", \"oito_digitos\", \"nono_digito\", \"aice\", \"serpro\", \"santo_antonio\", \"porto_alegre_rs\", \"aeroporto\", \"aracaju\", \"fox_sports\", \"imigrantes\", \"pista\", \"santa\", \"santa_isabel\", \"beira\", \"programas_sociais\", \"lagoa\", \"salvador\", \"star_one\", \"desligamento\", \"sinal_analogico\", \"satelites\", \"transito\", \"serra\", \"completadas\", \"local\", \"orelhoes\", \"digito\", \"sinal\", \"cidades\", \"digital\", \"municipios\", \"numeros\", \"ddd\", \"rio\", \"milhoes\", \"mudanca\", \"tv\", \"regiao\", \"paulo\", \"area\", \"janeiro\", \"sul\", \"partir\", \"sentido\", \"mil\", \"ligacoes\", \"telefone\", \"dia\", \"segundo\", \"chamadas\", \"numero\", \"ano\", \"celulares\", \"estado\", \"acordo\", \"movel\", \"pais\", \"brasil\", \"ig\", \"serramby\", \"abranet\", \"trunking\", \"postes\", \"ziller\", \"pgmc\", \"cpe\", \"cgi\", \"desoneracoes\", \"envelope\", \"road_show\", \"ferrari\", \"provedores\", \"sergio_amadeu\", \"backbone\", \"reavaliacao\", \"backhaul\", \"geografico\", \"neutralidade\", \"distribuidoras\", \"terni\", \"guerreiro\", \"multimidia\", \"sme\", \"balduino\", \"excecoes\", \"provedores_gratuitos\", \"schymura_nomeia_pedro_jaime\", \"dutos\", \"molon\", \"conselheira\", \"marco_civil\", \"emilia\", \"licitacao\", \"bandas\", \"banda\", \"consulta_publica\", \"minuta\", \"gratis\", \"provedor\", \"redes\", \"interconexao\", \"empresas\", \"edital\", \"regulamentacao\", \"concessionarias\", \"rede\", \"acesso\", \"proposta\", \"licencas\", \"modelo\", \"internet\", \"regras\", \"servicos\", \"contratos\", \"operadoras\", \"servico\", \"uso\", \"presidente\", \"segundo\", \"fixa\", \"banda_larga\", \"lei\", \"ministro\", \"setor\", \"governo\", \"mercado\", \"dados\", \"brasil\", \"leilao\", \"celular\", \"pgmu\", \"espelho\", \"desagregacao\", \"carpinteyro\", \"vesper\", \"reg\", \"unbundling\", \"backhaul_infraestrutura\", \"brtelecom\", \"telemar\", \"medida_preventiva\", \"interconexao\", \"revisao_tarifaria\", \"arbitragem\", \"salazar\", \"infra_estrutura\", \"espelhos\", \"filardi\", \"xavier\", \"embratel\", \"unificacao\", \"monopolista\", \"takayanagi\", \"recorreu\", \"henrique_neves\", \"universalizacao_pgmu\", \"assinatura_basica\", \"embratel_purificacion_carpinteyro\", \"telefones_fixos_instalados\", \"metas\", \"telecom\", \"residenciais\", \"longa_distancia\", \"fixas\", \"unicel\", \"trf\", \"tarifas\", \"concessionarias\", \"telefonica\", \"telesp\", \"renato_guerreiro\", \"abta\", \"competicao\", \"fixa\", \"reajuste\", \"cabo\", \"valente\", \"licenca\", \"concessao\", \"decisao\", \"local\", \"empresas\", \"universalizacao\", \"operadoras\", \"servicos\", \"mercado\", \"empresa\", \"presidente\", \"servico\", \"segundo\", \"celular\", \"brasil\", \"operadora\", \"regras\", \"tv\", \"assinatura\", \"reducao\", \"ano\", \"setor\", \"milhoes\", \"rede\", \"paulo\", \"acordo\", \"pais\", \"oi\", \"recursos_hidricos\", \"mtst\", \"servia\", \"a\\u00b5es\", \"manifestantes\", \"aga\\u00aancia\", \"agua\", \"milha\\u00b5es\", \"aguas\", \"telexfree\", \"rios\", \"ana\", \"tamba\", \"aguas_ana\", \"telecomunicaa_a\\u00b5es\", \"inpe\", \"sa\", \"caetano\", \"bacia\", \"protesto\", \"jardim\", \"moradia\", \"abastecimento\", \"paa\", \"construtora\", \"vila\", \"avenida\", \"morumbi\", \"vel\", \"bilha\\u00b5es\", \"rua\", \"imovel\", \"prefeitura\", \"moradores\", \"comunidade\", \"predio\", \"cidade\", \"meio_ambiente\", \"pereira\", \"sp\", \"bairro\", \"rio\", \"casa\", \"sede\", \"paulo\", \"sinal\", \"regiao\", \"local\", \"municipio\", \"mil\", \"foto\", \"area\", \"estado\", \"gestao\", \"anos\", \"diretor\", \"dia\", \"trabalho\", \"grupo\", \"segundo\", \"empresa\", \"gente\", \"dois\", \"acordo\", \"pessoas\"], \"Total\": [7096.0, 5792.0, 4544.0, 5558.0, 8506.0, 6328.0, 3703.0, 3745.0, 9459.0, 1543.0, 6983.0, 4486.0, 7771.0, 3645.0, 7305.0, 3849.0, 8427.0, 4990.0, 6132.0, 4791.0, 2470.0, 6932.0, 1984.0, 1143.0, 4940.0, 3883.0, 2976.0, 8693.0, 1161.0, 3631.0, 68.16905345662542, 44.57506996610125, 400.8558453027399, 38.20400921998066, 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43.071523222691866, 64.99032298539336, 59.057912543876434, 37.38422523794215, 1143.7662738595504, 56.10423201341796, 40.69880117766955, 38.86648580796654, 89.59959392105722, 104.06157598717479, 35.84244951943066, 36.41583911940908, 61.28227480616831, 45.76761228119933, 42.49462905466292, 36.589303098563235, 36.959373538909055, 422.1504132250395, 115.91995825671039, 236.96151425768426, 521.9673751363831, 7096.908094137479, 688.6446770512329, 181.75795149395037, 349.31797435970094, 3703.3985239598082, 479.89559707005657, 205.566056180029, 252.05318265612564, 2448.021690043774, 1559.1730432006045, 1454.0501882646206, 454.4387727470689, 708.0036106614855, 8506.631734067672, 808.269240103962, 819.1309172495537, 313.8123252364664, 2174.391745716244, 3240.8189767398126, 2632.4438980208242, 461.99586000510385, 2327.102491600864, 4940.282173613627, 608.9643034172877, 2288.601950742429, 3591.789778696728, 1111.2329137657043, 8427.402501513592, 3849.3622048296024, 8693.17496689606, 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119.63302101805012, 46.13532257483091, 30.460809699903677, 73.78050146629053, 45.527121836672734, 56.0491187327142, 38.991782371144744, 165.15809017842287, 29.994057300861968, 141.92994959925275, 80.33104201276724, 86.61858503920394, 57.52850719074992, 32.88434693722056, 51.717654621588196, 119.9330862324344, 637.7746211085557, 341.6438976288541, 450.8811334832128, 192.1761899069699, 224.95198599917796, 102.56716498686916, 6328.488684671792, 3645.9594225411165, 468.96905150200905, 1163.8745264399838, 704.8874257259544, 6932.042684871514, 1683.9808418130208, 890.2782753828797, 392.87003933224406, 924.6015780144741, 2414.887847162484, 8427.402501513592, 1950.2663182141443, 2946.9310573905555, 846.7352287248251, 1347.0570882238897, 1399.4600348106549, 9459.14326301509, 4103.508303925944, 3489.295248549059, 5110.259199453754, 5558.278885214679, 8693.17496689606, 831.7691985478148, 822.5410019176588, 1080.9723913555104, 5137.109264901626, 2894.8003177565647, 3397.4862345563856, 1336.2465815394553, 3571.9407655066398, 3591.789778696728, 170.27771131920352, 44.29807443230899, 167.93870954329952, 42.36612023583557, 39.49539149620969, 42.846685820690574, 136.86130035393583, 65.14059905902657, 347.0548316594533, 91.0804446065792, 406.00420747615334, 410.9151519830698, 238.48465539957, 47.94505552947185, 36.662347218800605, 36.56321148752443, 50.63258598119699, 33.12222367698209, 94.78824617192844, 36.259700119672836, 199.42284499610255, 36.268921843721, 109.53177792412045, 42.64442091676291, 75.09841160629128, 33.052404910070926, 29.757206670559448, 269.59339938890645, 43.90157359450172, 155.27383603943792, 63.898377913245334, 310.5631292318069, 225.64678667404573, 129.18269199749676, 95.3707736680969, 219.01523190497488, 322.1387083350947, 381.38919427363606, 2470.733731388856, 1513.2643232791768, 204.38024200531228, 4990.781067211554, 5792.043098122923, 4791.983767909621, 8427.402501513592, 3849.3622048296024, 1939.8037500018788, 6132.912065983633, 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\"vencedoras\", \"vencedoras\", \"vencedoras\", \"vencedoras\", \"vencedoras\", \"vencedoras\", \"vendas\", \"vendas\", \"vendas\", \"vendas\", \"vendas\", \"vendas\", \"vendas\", \"vendas\", \"vendas\", \"vendas\", \"vendas\", \"vendas\", \"vendas\", \"vendas\", \"vendas\", \"vendas\", \"vendas\", \"vendas\", \"vendas\", \"vendas\", \"vendas\", \"vendas\", \"vendas\", \"vendas\", \"vendas_suspensas\", \"vendas_suspensas\", \"vendas_suspensas\", \"vendas_suspensas\", \"vendas_suspensas\", \"vendas_suspensas\", \"vendas_suspensas\", \"vendas_suspensas\", \"vendas_suspensas\", \"vendas_suspensas\", \"vendas_suspensas\", \"vendas_suspensas\", \"vendas_suspensas\", \"vendas_suspensas\", \"vendas_suspensas\", \"vendas_suspensas\", \"vendas_suspensas\", \"vendas_suspensas\", \"vendas_suspensas\", \"vendas_suspensas\", \"vendas_suspensas\", \"vendas_suspensas\", \"vendas_suspensas\", \"vendas_suspensas\", \"vendas_suspensas\", \"vendas_suspensas\", \"ver\", \"ver\", \"ver\", \"ver\", \"ver\", \"ver\", \"ver\", \"ver\", \"ver\", \"ver\", \"ver\", \"ver\", \"ver\", \"ver\", \"ver\", \"ver\", \"ver\", \"ver\", \"ver\", \"ver\", \"ver\", \"ver\", \"ver\", \"ver\", \"ver\", \"ver\", \"ver\", \"verdade\", \"verdade\", \"verdade\", \"verdade\", \"verdade\", \"verdade\", \"verdade\", \"verdade\", \"verdade\", \"verdade\", \"verdade\", \"verdade\", \"verdade\", \"verdade\", \"verdade\", \"verdade\", \"verdade\", \"verdade\", \"verdade\", \"verdade\", \"verdade\", \"verdade\", \"verdade\", \"verdade\", \"verdade\", \"verdade\", \"verde\", \"verde\", \"verde\", \"verde\", \"verde\", \"verde\", \"verde\", \"verde\", \"verde\", \"verde\", \"verde\", \"verde\", \"verde\", \"verde\", \"verde\", \"verde\", \"verde\", \"verde\", \"verde\", \"verde\", \"verde\", \"verde\", \"verde\", \"verde\", \"verifique\", \"verifique\", \"verifique\", \"verifique\", \"verifique\", \"verifique\", \"verifique\", \"verifique\", \"verifique\", \"verifique\", \"verifique\", \"verifique\", \"verifique\", \"verifique\", \"verifique\", \"verifique\", \"verifique\", \"verifique\", \"verifique\", \"verifique\", \"verifique\", \"verifique\", \"verifique\", \"versao_gratuita\", \"versao_gratuita\", \"versao_gratuita\", \"versao_gratuita\", \"versao_gratuita\", \"versao_gratuita\", \"versao_gratuita\", \"versao_gratuita\", \"versao_gratuita\", \"versao_gratuita\", \"versao_gratuita\", \"versao_gratuita\", \"versao_gratuita\", \"versao_gratuita\", \"versao_gratuita\", \"versao_gratuita\", \"versao_gratuita\", \"versao_gratuita\", \"versao_gratuita\", \"versao_gratuita\", \"vesper\", \"vesper\", \"vesper\", \"vesper\", \"vesper\", \"vesper\", \"vesper\", \"vesper\", \"vesper\", \"vesper\", \"vesper\", \"vesper\", \"vesper\", \"vesper\", \"vesper\", \"vesper\", \"vesper\", \"vesper\", \"vesper\", \"vesper\", \"vesper\", \"vesper\", \"vesper\", \"vesper\", \"vesper\", \"vesper\", \"vesper\", \"vesper_portatil\", \"vesper_portatil\", \"vesper_portatil\", \"vesper_portatil\", \"vesper_portatil\", \"vesper_portatil\", \"vesper_portatil\", \"vesper_portatil\", \"vesper_portatil\", \"vesper_portatil\", \"vesper_portatil\", \"vesper_portatil\", \"vesper_portatil\", \"vesper_portatil\", \"vesper_portatil\", \"vesper_portatil\", \"vesper_portatil\", \"vesper_portatil\", \"vesper_portatil\", \"vesper_portatil\", \"vesper_portatil\", \"veto\", \"veto\", \"veto\", \"veto\", \"veto\", \"veto\", \"veto\", \"veto\", \"veto\", \"veto\", \"veto\", \"veto\", \"veto\", \"veto\", \"veto\", \"veto\", \"veto\", \"veto\", \"veto\", \"veto\", \"veto\", \"veto\", \"veto\", \"vez\", \"vez\", \"vez\", \"vez\", \"vez\", \"vez\", \"vez\", \"vez\", \"vez\", \"vez\", \"vez\", \"vez\", \"vez\", \"vez\", \"vez\", \"vez\", \"vez\", \"vez\", \"vez\", \"vez\", \"vez\", \"vez\", \"vez\", \"vez\", \"vez\", \"vez\", \"vez\", \"vez\", \"vez\", \"vez\", \"via_satelite\", \"via_satelite\", \"via_satelite\", \"via_satelite\", \"via_satelite\", \"via_satelite\", \"via_satelite\", \"via_satelite\", \"via_satelite\", \"via_satelite\", \"via_satelite\", \"via_satelite\", \"via_satelite\", \"via_satelite\", \"via_satelite\", \"via_satelite\", \"via_satelite\", \"via_satelite\", \"via_satelite\", \"via_satelite\", \"via_satelite\", \"via_satelite\", \"via_satelite\", \"via_satelite\", \"via_satelite\", \"via_satelite\", \"viaduto\", \"viaduto\", \"viaduto\", \"viaduto\", \"viaduto\", \"viaduto\", \"viaduto\", \"viaduto\", \"viaduto\", \"viaduto\", \"viaduto\", \"viaduto\", \"viaduto\", \"viaduto\", \"viaduto\", \"viaduto\", \"viaduto\", \"viaduto\", \"viaduto\", \"viaduto\", \"viaduto\", \"viaduto\", \"viaduto\", \"viaduto\", \"vida\", \"vida\", \"vida\", \"vida\", \"vida\", \"vida\", \"vida\", \"vida\", \"vida\", \"vida\", \"vida\", \"vida\", \"vida\", \"vida\", \"vida\", \"vida\", \"vida\", \"vida\", \"vida\", \"vida\", \"vida\", \"vida\", \"vida\", \"vida\", \"vida\", \"vida\", \"videogame\", \"videogame\", \"videogame\", \"videogame\", \"videogame\", \"videogame\", \"videogame\", \"videogame\", \"videogame\", \"videogame\", \"videogame\", \"videogame\", \"videogame\", \"videogame\", \"videogame\", \"videogame\", \"videogame\", \"videogame\", \"videogame\", \"videogame\", \"videogame\", \"videogame\", \"vila\", \"vila\", \"vila\", \"vila\", \"vila\", \"vila\", \"vila\", \"vila\", \"vila\", \"vila\", \"vila\", \"vila\", \"vila\", \"vila\", \"vila\", \"vila\", \"vila\", \"vila\", \"vila\", \"vila\", \"vila\", \"vila\", \"vila\", \"vila\", \"vila\", \"virgin\", \"virgin\", \"virgin\", \"virgin\", \"virgin\", \"virgin\", \"virgin\", \"virgin\", \"virgin\", \"virgin\", \"virgin\", \"virgin\", \"virgin\", \"virgin\", \"virgin\", \"virgin\", \"virgin\", \"virgin\", \"virgin\", \"virgin\", \"virgin\", \"virgin\", \"virgin\", \"virgin\", \"virtuais\", \"virtuais\", \"virtuais\", \"virtuais\", \"virtuais\", \"virtuais\", \"virtuais\", \"virtuais\", \"virtuais\", \"virtuais\", \"virtuais\", \"virtuais\", \"virtuais\", \"virtuais\", \"virtuais\", \"virtuais\", \"virtuais\", \"virtuais\", \"virtuais\", \"virtuais\", \"virtuais\", \"virtual\", \"virtual\", \"virtual\", \"virtual\", \"virtual\", \"virtual\", \"virtual\", \"virtual\", \"virtual\", \"virtual\", \"virtual\", \"virtual\", \"virtual\", \"virtual\", \"virtual\", \"virtual\", \"virtual\", \"virtual\", \"virtual\", \"virtual\", \"virtual\", \"virtual\", \"virtual\", \"virus\", \"virus\", \"virus\", \"virus\", \"virus\", \"virus\", \"virus\", \"virus\", \"virus\", \"virus\", \"virus\", \"virus\", \"virus\", \"virus\", \"virus\", \"virus\", \"virus\", \"virus\", \"virus\", \"virus\", \"virus\", \"virus\", \"virus\", \"virus\", \"viva_voz\", \"viva_voz\", \"viva_voz\", \"viva_voz\", \"viva_voz\", \"viva_voz\", \"viva_voz\", \"viva_voz\", \"viva_voz\", \"viva_voz\", \"viva_voz\", \"viva_voz\", \"viva_voz\", \"viva_voz\", \"viva_voz\", \"viva_voz\", \"viva_voz\", \"viva_voz\", \"viva_voz\", \"viva_voz\", \"viva_voz\", \"viva_voz\", \"viva_voz\", \"vivendi\", \"vivendi\", \"vivendi\", \"vivendi\", \"vivendi\", \"vivendi\", \"vivendi\", \"vivendi\", \"vivendi\", \"vivendi\", \"vivendi\", \"vivendi\", \"vivendi\", \"vivendi\", \"vivendi\", \"vivendi\", \"vivendi\", \"vivendi\", \"vivendi\", \"vivendi\", \"vivendi\", \"vivendi\", \"viver\", \"viver\", \"viver\", \"viver\", \"viver\", \"viver\", \"viver\", \"viver\", \"viver\", \"viver\", \"viver\", \"viver\", \"viver\", \"viver\", \"viver\", \"viver\", \"viver\", \"viver\", \"viver\", \"viver\", \"viver\", \"viver\", \"viver\", \"viver\", \"viver\", \"viver\", \"vivo\", \"vivo\", \"vivo\", \"vivo\", \"vivo\", \"vivo\", \"vivo\", \"vivo\", \"vivo\", \"vivo\", \"vivo\", \"vivo\", \"vivo\", \"vivo\", \"vivo\", \"vivo\", \"vivo\", \"vivo\", \"vivo\", \"vivo\", \"vivo\", \"vivo\", \"vivo\", \"vivo\", \"vivo\", \"vivo\", \"vivo\", \"voar\", \"voar\", \"voar\", \"voar\", \"voar\", \"voar\", \"voar\", \"voar\", \"voar\", \"voar\", \"voar\", \"voar\", \"voar\", \"voar\", \"voar\", \"voar\", \"voar\", \"voar\", \"voar\", \"voar\", \"voar\", \"voar\", \"voces\", \"voces\", \"voces\", \"voces\", \"voces\", \"voces\", \"voces\", \"voces\", \"voces\", \"voces\", \"voces\", \"voces\", \"voces\", \"voces\", \"voces\", \"voces\", \"voces\", \"voces\", \"voces\", \"voces\", \"voces\", \"voces\", \"volatilidade\", \"volatilidade\", \"volatilidade\", \"volatilidade\", \"volatilidade\", \"volatilidade\", \"volatilidade\", \"volatilidade\", \"volatilidade\", \"volatilidade\", \"volatilidade\", \"volatilidade\", \"volatilidade\", \"volatilidade\", \"volatilidade\", \"volatilidade\", \"volatilidade\", \"volatilidade\", \"volatilidade\", \"volatilidade\", \"voo\", \"voo\", \"voo\", \"voo\", \"voo\", \"voo\", \"voo\", \"voo\", \"voo\", \"voo\", \"voo\", \"voo\", \"voo\", \"voo\", \"voo\", \"voo\", \"voo\", \"voo\", \"voo\", \"voo\", \"voo\", \"voo\", \"voo\", \"voos\", \"voos\", \"voos\", \"voos\", \"voos\", \"voos\", \"voos\", \"voos\", \"voos\", \"voos\", \"voos\", \"voos\", \"voos\", \"voos\", \"voos\", \"voos\", \"voos\", \"voos\", \"voos\", \"voos\", \"voos\", \"voos\", \"voos\", \"votacao\", \"votacao\", \"votacao\", \"votacao\", \"votacao\", \"votacao\", \"votacao\", \"votacao\", \"votacao\", \"votacao\", \"votacao\", \"votacao\", \"votacao\", \"votacao\", \"votacao\", \"votacao\", \"votacao\", \"votacao\", \"votacao\", \"votacao\", \"votacao\", \"votacao\", \"votacao\", \"votacao\", \"votacao\", \"vou\", \"vou\", \"vou\", \"vou\", \"vou\", \"vou\", \"vou\", \"vou\", \"vou\", \"vou\", \"vou\", \"vou\", \"vou\", \"vou\", \"vou\", \"vou\", \"vou\", \"vou\", \"vou\", \"vou\", \"vou\", \"vou\", \"vou\", \"vou\", \"vou\", \"vou\", \"vou\", \"vpn\", \"vpn\", \"vpn\", \"vpn\", \"vpn\", \"vpn\", \"vpn\", \"vpn\", \"vpn\", \"vpn\", \"vpn\", \"vpn\", \"vpn\", \"vpn\", \"vpn\", \"vpn\", \"vpn\", \"vpn\", \"vpn\", \"vpn\", \"wajnberg\", \"wajnberg\", \"wajnberg\", \"wajnberg\", \"wajnberg\", \"wajnberg\", \"wajnberg\", \"wajnberg\", \"wajnberg\", \"wajnberg\", \"wajnberg\", \"wajnberg\", \"wajnberg\", \"wajnberg\", \"wajnberg\", \"wajnberg\", \"wajnberg\", \"wajnberg\", \"wajnberg\", \"wajnberg\", \"wajnberg\", \"wall_street\", \"wall_street\", \"wall_street\", \"wall_street\", \"wall_street\", \"wall_street\", \"wall_street\", \"wall_street\", \"wall_street\", \"wall_street\", \"wall_street\", \"wall_street\", \"wall_street\", \"wall_street\", \"wall_street\", \"wall_street\", \"wall_street\", \"wall_street\", \"wall_street\", \"wall_street\", \"walmart\", \"walmart\", \"walmart\", \"walmart\", \"walmart\", \"walmart\", \"walmart\", \"walmart\", \"walmart\", \"walmart\", \"walmart\", \"walmart\", \"walmart\", \"walmart\", \"walmart\", \"walmart\", \"walmart\", \"walmart\", \"walmart\", \"walmart\", \"walmart\", \"walmart\", \"walmart\", \"washington\", \"washington\", \"washington\", \"washington\", \"washington\", \"washington\", \"washington\", \"washington\", \"washington\", \"washington\", \"washington\", \"washington\", \"washington\", \"washington\", \"washington\", \"washington\", \"washington\", \"washington\", \"washington\", \"washington\", \"washington\", \"watch\", \"watch\", \"watch\", \"watch\", \"watch\", \"watch\", \"watch\", \"watch\", \"watch\", \"watch\", \"watch\", \"watch\", \"watch\", \"watch\", \"watch\", \"watch\", \"watch\", \"watch\", \"watch\", \"watch\", \"watch\", \"watch\", \"watch\", \"watch\", \"web\", \"web\", \"web\", \"web\", \"web\", \"web\", \"web\", \"web\", \"web\", \"web\", \"web\", \"web\", \"web\", \"web\", \"web\", \"web\", \"web\", \"web\", \"web\", \"web\", \"web\", \"web\", \"whatsapp\", \"whatsapp\", \"whatsapp\", \"whatsapp\", \"whatsapp\", \"whatsapp\", \"whatsapp\", \"whatsapp\", \"whatsapp\", \"whatsapp\", \"whatsapp\", \"whatsapp\", \"whatsapp\", \"whatsapp\", \"whatsapp\", \"whatsapp\", \"whatsapp\", \"whatsapp\", \"whatsapp\", \"whatsapp\", \"whatsapp\", \"whatsapp\", \"whatsapp\", \"whatsapp\", \"whatsapp\", \"whatsapp\", \"whatsapp\", \"wi_fi\", \"wi_fi\", \"wi_fi\", \"wi_fi\", \"wi_fi\", \"wi_fi\", \"wi_fi\", \"wi_fi\", \"wi_fi\", \"wi_fi\", \"wi_fi\", \"wi_fi\", \"wi_fi\", \"wi_fi\", \"wi_fi\", \"wi_fi\", \"wi_fi\", \"wi_fi\", \"wi_fi\", \"wi_fi\", \"wi_fi\", \"wi_fi\", \"wi_fi\", \"wi_fi\", \"windows\", \"windows\", \"windows\", \"windows\", \"windows\", \"windows\", \"windows\", \"windows\", \"windows\", \"windows\", \"windows\", \"windows\", \"windows\", \"windows\", \"windows\", \"windows\", \"windows\", \"windows\", \"windows\", \"windows\", \"windows\", \"windows\", \"windows\", \"windows\", \"windows\", \"worldcom\", \"worldcom\", \"worldcom\", \"worldcom\", \"worldcom\", \"worldcom\", \"worldcom\", \"worldcom\", \"worldcom\", \"worldcom\", \"worldcom\", \"worldcom\", \"worldcom\", \"worldcom\", \"worldcom\", \"worldcom\", \"worldcom\", \"worldcom\", \"worldcom\", \"worldcom\", \"worldcom\", \"worldcom\", \"worldcom\", \"xavier\", \"xavier\", \"xavier\", \"xavier\", \"xavier\", \"xavier\", \"xavier\", \"xavier\", \"xavier\", \"xavier\", \"xavier\", \"xavier\", \"xavier\", \"xavier\", 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\"ziller\", \"ziller\", \"ziller\", \"ziller\", \"ziller\", \"ziller\", \"ziller\", \"ziller\", \"ziller\", \"ziller\", \"ziller\", \"ziller\", \"ziller\", \"ziller\"]}, \"R\": 30, \"lambda.step\": 0.01, \"plot.opts\": {\"xlab\": \"PC1\", \"ylab\": \"PC2\"}, \"topic.order\": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30]};\n",
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      "text/plain": [
       "PreparedData(topic_coordinates=            Freq  cluster  topics         x         y\n",
       "topic                                                \n",
       "0       2.613327        1       1  0.025141  0.047592\n",
       "1       9.257038        1       2  0.082240 -0.076035\n",
       "2       4.178504        1       3  0.001895 -0.114198\n",
       "3       1.965764        1       4 -0.002149 -0.074481\n",
       "4       3.131157        1       5  0.126236 -0.032264\n",
       "5       3.671416        1       6 -0.088433  0.021204\n",
       "6       7.935974        1       7  0.130893  0.069760\n",
       "7       1.767128        1       8  0.030735  0.102524\n",
       "8       1.993121        1       9  0.055822  0.052203\n",
       "9       4.440408        1      10 -0.073868 -0.023749\n",
       "10      0.865114        1      11 -0.072702 -0.004091\n",
       "11      2.594421        1      12  0.023213 -0.077299\n",
       "12      2.087876        1      13  0.074422 -0.007559\n",
       "13      3.030403        1      14 -0.069033 -0.002387\n",
       "14      3.390763        1      15 -0.043238  0.063948\n",
       "15      2.562070        1      16 -0.042810 -0.067615\n",
       "16      3.447319        1      17 -0.047150  0.041007\n",
       "17      2.359043        1      18  0.055646 -0.106669\n",
       "18      5.753467        1      19 -0.055392  0.043671\n",
       "19      2.131562        1      20  0.135750  0.000466\n",
       "20      3.670385        1      21 -0.037555 -0.023347\n",
       "21      3.983007        1      22 -0.049979 -0.034572\n",
       "22      1.772133        1      23  0.042772  0.103917\n",
       "23      1.060539        1      24  0.029391 -0.038581\n",
       "24      3.156835        1      25 -0.122947  0.023302\n",
       "25      1.699568        1      26 -0.115955  0.052740\n",
       "26      0.653968        1      27 -0.036802  0.081909\n",
       "27      2.345051        1      28  0.013412 -0.057386\n",
       "28     10.298705        1      29 -0.053753 -0.071906\n",
       "29      2.183933        1      30  0.084197  0.107894, topic_info=      Category         Freq                  Term        Total  loglift  \\\n",
       "term                                                                      \n",
       "11640  Default  7096.000000                    oi  7096.000000  30.0000   \n",
       "183    Default  5792.000000               milhoes  5792.000000  29.0000   \n",
       "504    Default  4544.000000                    tv  4544.000000  28.0000   \n",
       "177    Default  5558.000000              internet  5558.000000  27.0000   \n",
       "19     Default  8506.000000               empresa  8506.000000  26.0000   \n",
       "683    Default  6328.000000               governo  6328.000000  25.0000   \n",
       "153    Default  3703.000000               bilhoes  3703.000000  24.0000   \n",
       "520    Default  3745.000000            consumidor  3745.000000  23.0000   \n",
       "20     Default  9459.000000              empresas  9459.000000  22.0000   \n",
       "1161   Default  1543.000000               digital  1543.000000  21.0000   \n",
       "43     Default  6983.000000            operadoras  6983.000000  20.0000   \n",
       "61     Default  4486.000000            telefonica  4486.000000  19.0000   \n",
       "365    Default  7771.000000               servico  7771.000000  18.0000   \n",
       "692    Default  3645.000000              ministro  3645.000000  17.0000   \n",
       "366    Default  7305.000000              servicos  7305.000000  16.0000   \n",
       "1034   Default  3849.000000                   tim  3849.000000  15.0000   \n",
       "583    Default  8427.000000                brasil  8427.000000  14.0000   \n",
       "155    Default  4990.000000               celular  4990.000000  13.0000   \n",
       "147    Default  6132.000000                   ano  6132.000000  12.0000   \n",
       "182    Default  4791.000000               mercado  4791.000000  11.0000   \n",
       "1006   Default  2470.000000             celulares  2470.000000  10.0000   \n",
       "129    Default  6932.000000            presidente  6932.000000   9.0000   \n",
       "1383   Default  1984.000000                leilao  1984.000000   8.0000   \n",
       "12590  Default  1143.000000              credores  1143.000000   7.0000   \n",
       "42     Default  4940.000000             operadora  4940.000000   6.0000   \n",
       "2938   Default  3883.000000           banda_larga  3883.000000   5.0000   \n",
       "41     Default  2976.000000                numero  2976.000000   4.0000   \n",
       "135    Default  8693.000000               segundo  8693.000000   3.0000   \n",
       "20209  Default  1161.000000  recuperacao_judicial  1161.000000   2.0000   \n",
       "310    Default  3631.000000                 movel  3631.000000   1.0000   \n",
       "...        ...          ...                   ...          ...      ...   \n",
       "7616   Topic30    47.264316                predio   165.600781   2.5702   \n",
       "835    Topic30   146.281318                cidade   777.415010   2.1536   \n",
       "7770   Topic30    29.895580         meio_ambiente    95.227498   2.6655   \n",
       "3705   Topic30    35.112801               pereira   120.118942   2.5941   \n",
       "1472   Topic30    78.140200                    sp   418.442121   2.1460   \n",
       "10098  Topic30    36.154133                bairro   129.045603   2.5517   \n",
       "566    Topic30   217.623480                   rio  2511.030007   1.3784   \n",
       "1094   Topic30    93.124625                  casa   745.117252   1.7444   \n",
       "2626   Topic30    63.345735                  sede   383.324762   2.0238   \n",
       "421    Topic30   242.020187                 paulo  5137.109265   0.7688   \n",
       "1821   Topic30   114.946217                 sinal  1303.966992   1.3953   \n",
       "493    Topic30    98.428237                regiao  1020.289042   1.4855   \n",
       "32     Topic30    88.872982                 local   942.466565   1.4628   \n",
       "1460   Topic30    52.127072             municipio   295.186007   2.0901   \n",
       "36     Topic30   138.913290                   mil  3314.793614   0.6517   \n",
       "8088   Topic30    62.187802                  foto   548.478081   1.6471   \n",
       "2      Topic30    87.238360                  area  1579.019023   0.9281   \n",
       "462    Topic30   105.855554                estado  2894.800318   0.5154   \n",
       "1107   Topic30    59.571630                gestao   515.973499   1.6652   \n",
       "213    Topic30   104.695135                  anos  3571.940766   0.2942   \n",
       "258    Topic30    78.835429               diretor  1440.317149   0.9188   \n",
       "90     Topic30    88.230126                   dia  2774.234309   0.3759   \n",
       "2249   Topic30    65.849952              trabalho   860.394116   1.2540   \n",
       "800    Topic30    79.341272                 grupo  2174.391746   0.5133   \n",
       "135    Topic30    91.971350               segundo  8693.174967  -0.7248   \n",
       "19     Topic30    85.629942               empresa  8506.631734  -0.7745   \n",
       "6014   Topic30    61.232746                 gente   870.763663   1.1694   \n",
       "260    Topic30    67.470396                  dois  2007.168276   0.4313   \n",
       "729    Topic30    67.008603                acordo  3591.789779  -0.1575   \n",
       "482    Topic30    61.711589               pessoas  1629.072973   0.5507   \n",
       "\n",
       "       logprob  \n",
       "term            \n",
       "11640  30.0000  \n",
       "183    29.0000  \n",
       "504    28.0000  \n",
       "177    27.0000  \n",
       "19     26.0000  \n",
       "683    25.0000  \n",
       "153    24.0000  \n",
       "520    23.0000  \n",
       "20     22.0000  \n",
       "1161   21.0000  \n",
       "43     20.0000  \n",
       "61     19.0000  \n",
       "365    18.0000  \n",
       "692    17.0000  \n",
       "366    16.0000  \n",
       "1034   15.0000  \n",
       "583    14.0000  \n",
       "155    13.0000  \n",
       "147    12.0000  \n",
       "182    11.0000  \n",
       "1006   10.0000  \n",
       "129     9.0000  \n",
       "1383    8.0000  \n",
       "12590   7.0000  \n",
       "42      6.0000  \n",
       "2938    5.0000  \n",
       "41      4.0000  \n",
       "135     3.0000  \n",
       "20209   2.0000  \n",
       "310     1.0000  \n",
       "...        ...  \n",
       "7616   -6.8005  \n",
       "835    -5.6707  \n",
       "7770   -7.2585  \n",
       "3705   -7.0977  \n",
       "1472   -6.2977  \n",
       "10098  -7.0685  \n",
       "566    -5.2735  \n",
       "1094   -6.1223  \n",
       "2626   -6.5076  \n",
       "421    -5.1672  \n",
       "1821   -5.9118  \n",
       "493    -6.0669  \n",
       "32     -6.1690  \n",
       "1460   -6.7026  \n",
       "36     -5.7224  \n",
       "8088   -6.5261  \n",
       "2      -6.1876  \n",
       "462    -5.9942  \n",
       "1107   -6.5691  \n",
       "213    -6.0052  \n",
       "258    -6.2889  \n",
       "90     -6.1763  \n",
       "2249   -6.4689  \n",
       "800    -6.2825  \n",
       "135    -6.1348  \n",
       "19     -6.2062  \n",
       "6014   -6.5416  \n",
       "260    -6.4446  \n",
       "729    -6.4514  \n",
       "482    -6.5338  \n",
       "\n",
       "[2166 rows x 6 columns], token_table=       Topic      Freq            Term\n",
       "term                                  \n",
       "25270      1  0.028719  abaixo_integra\n",
       "25270      2  0.057439  abaixo_integra\n",
       "25270      3  0.028719  abaixo_integra\n",
       "25270      5  0.028719  abaixo_integra\n",
       "25270      6  0.028719  abaixo_integra\n",
       "25270      7  0.028719  abaixo_integra\n",
       "25270      8  0.028719  abaixo_integra\n",
       "25270     10  0.028719  abaixo_integra\n",
       "25270     12  0.028719  abaixo_integra\n",
       "25270     13  0.028719  abaixo_integra\n",
       "25270     14  0.028719  abaixo_integra\n",
       "25270     15  0.028719  abaixo_integra\n",
       "25270     17  0.028719  abaixo_integra\n",
       "25270     18  0.028719  abaixo_integra\n",
       "25270     19  0.028719  abaixo_integra\n",
       "25270     20  0.430790  abaixo_integra\n",
       "25270     21  0.028719  abaixo_integra\n",
       "25270     22  0.028719  abaixo_integra\n",
       "25270     25  0.028719  abaixo_integra\n",
       "25270     28  0.028719  abaixo_integra\n",
       "25270     29  0.057439  abaixo_integra\n",
       "9465       1  0.017325   abastecimento\n",
       "9465       2  0.034650   abastecimento\n",
       "9465       3  0.017325   abastecimento\n",
       "9465       5  0.069300   abastecimento\n",
       "9465       6  0.034650   abastecimento\n",
       "9465       7  0.017325   abastecimento\n",
       "9465       9  0.069300   abastecimento\n",
       "9465      10  0.017325   abastecimento\n",
       "9465      12  0.017325   abastecimento\n",
       "...      ...       ...             ...\n",
       "24572     22  0.024127     zero_rating\n",
       "24572     25  0.024127     zero_rating\n",
       "24572     26  0.024127     zero_rating\n",
       "24572     29  0.048254     zero_rating\n",
       "24572     30  0.024127     zero_rating\n",
       "15393      1  0.007471          ziller\n",
       "15393      2  0.224122          ziller\n",
       "15393      3  0.007471          ziller\n",
       "15393      4  0.067237          ziller\n",
       "15393      5  0.037354          ziller\n",
       "15393      6  0.029883          ziller\n",
       "15393      7  0.007471          ziller\n",
       "15393      9  0.007471          ziller\n",
       "15393     10  0.007471          ziller\n",
       "15393     12  0.007471          ziller\n",
       "15393     13  0.007471          ziller\n",
       "15393     14  0.134473          ziller\n",
       "15393     15  0.007471          ziller\n",
       "15393     16  0.007471          ziller\n",
       "15393     17  0.007471          ziller\n",
       "15393     18  0.007471          ziller\n",
       "15393     19  0.007471          ziller\n",
       "15393     20  0.014941          ziller\n",
       "15393     21  0.007471          ziller\n",
       "15393     22  0.007471          ziller\n",
       "15393     24  0.022412          ziller\n",
       "15393     25  0.007471          ziller\n",
       "15393     28  0.261476          ziller\n",
       "15393     29  0.104590          ziller\n",
       "15393     30  0.007471          ziller\n",
       "\n",
       "[31930 rows x 3 columns], R=30, lambda_step=0.01, plot_opts={'xlab': 'PC1', 'ylab': 'PC2'}, topic_order=[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30])"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def malletmodel2ldamodelMy(mallet_model, gamma_threshold=0.001, iterations=150):\n",
    " \"\"\"\n",
    " Function to convert mallet model to gensim LdaModel. This works by copying the\n",
    " training model weights (alpha, beta...) from a trained mallet model into the\n",
    " gensim model.\n",
    "\n",
    " Args:\n",
    " mallet_model : Trained mallet model\n",
    " gamma_threshold : To be used for inference in the new LdaModel.\n",
    " iterations : number of iterations to be used for inference in the new LdaModel.\n",
    "\n",
    " Returns:\n",
    " model_gensim : LdaModel instance; copied gensim LdaModel\n",
    " \"\"\"\n",
    " model_gensim = gensim.models.LdaModel(\n",
    "   id2word=mallet_model.id2word, num_topics=mallet_model.num_topics,\n",
    "   alpha=mallet_model.alpha, iterations=iterations,\n",
    "   eta=mallet_model.word_topics,\n",
    "   gamma_threshold=gamma_threshold,\n",
    "   dtype=np.float64 # don't loose precision when converting from MALLET\n",
    " )\n",
    " model_gensim.expElogbeta[:] = mallet_model.wordtopics\n",
    " return model_gensim\n",
    "\n",
    "ldamallet = gensim.utils.SaveLoad.load('media-anatel-option1-ldamalletmodel')\n",
    "\n",
    "lda_model = malletmodel2ldamodelMy(ldamallet)\n",
    "lda_model.save('media-anatel-option1-ldamodel')\n",
    "\n",
    "pyLDAvis.enable_notebook()\n",
    "vis = pyLDAvis.gensim.prepare(lda_model, corpus, id2word, sort_topics=False)\n",
    "vis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Topico</th>\n",
       "      <th>Keywords</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.0</td>\n",
       "      <td>servico, empresa, internet, consumidor, justica, problema, caso, servicos, vivo, operadora, whatsapp, bloqueio, decisao, operadoras, dia, celular, aplicativo, telefonica, segundo, informacoes, telefone, contato, empresas, informou, problemas, rede, claro, atendimento, usuarios, defesa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2.0</td>\n",
       "      <td>governo, presidente, ministro, empresas, lei, setor, projeto, banda_larga, ministerio, segundo, servicos, comunicacoes, ano, pais, servico, investimentos, bilhoes, proposta, geral, anos, plano, fixa, senado, recursos, telebras, bernardo, concessao, operadoras, camara, congresso</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3.0</td>\n",
       "      <td>oi, empresa, bilhoes, recuperacao_judicial, companhia, credores, operadora, brasil, divida, plano, segundo, pedido, processo, grupo, investimentos, acordo, acoes, telefonica, tim, empresas, proposta, mercado, acionistas, governo, presidente, rio, milhoes, vivo, dividas, caso</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.0</td>\n",
       "      <td>empresa, telefonica, embratel, empresas, decisao, servico, segundo, brasil, justica, oi, operadora, servicos, telemar, presidente, telecom, processo, pedido, acordo, federal, tim, fixa, operadoras, caso, ministro, ministerio, prazo, informou, paulo, ano, celular</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>governo, presidente, brasil, ministro, empresas, segundo, ministerio, setor, lei, pais, internet, comunicacoes, projeto, dados, estados_unidos, bernardo, paulo, brasileiro, espionagem, informacoes, senado, camara, caso, estado, seguranca, paises, anos, eua, acordo, brasilia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6.0</td>\n",
       "      <td>brasil, milhoes, celular, mercado, ano, empresa, segundo, celulares, tim, operadora, pais, operadoras, rede, mil, movel, clientes, aparelhos, tecnologia, dados, servico, paulo, vivo, claro, numero, oi, passado, servicos, empresas, apple, smartphones</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7.0</td>\n",
       "      <td>brasil, paulo, governo, anos, pais, agora, pessoas, presidente, estado, mundo, grande, bem, lula, politica, dilma, gente, publico, vida, tempo, dizer, pt, brasileiro, exemplo, coisa, historia, vez, dinheiro, forma, brasileiros, melhor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8.0</td>\n",
       "      <td>tv, digital, sinal, desligamento, sinal_analogico, televisao, emissoras, cidades, dia, governo, receber, conversor, canais, rio, partir, transmissao, regiao, paulo, municipios, ministerio, mil, populacao, processo, ano, aberta, pais, qualidade, numero, globo, kits</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9.0</td>\n",
       "      <td>brasil, dia, empresa, tv, tecnologia, uso, sistema, pais, anos, drones, mercado, setor, segundo, mundo, anac, evento, digital, pessoas, paulo, nova, produtos, projeto, aparelho, empresas, brasileiro, mil, publico, tres, seguranca, controle</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10.0</td>\n",
       "      <td>servicos, empresa, tim, empresas, oi, reclamacoes, servico, qualidade, operadoras, clientes, segundo, atendimento, claro, movel, vivo, operadora, ano, consumidor, rede, milhoes, investimentos, paulo, usuarios, problemas, consumidores, plano, internet, planos, setor, metas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11.0</td>\n",
       "      <td>milhoes, ano, servicos, segundo, operadoras, empresas, mil, oi, servico, movel, linhas, tim, bilhoes, passado, claro, celular, clientes, valor, pais, vivo, reclamacoes, brasil, empresa, acordo, aumento, total, dados, recursos, celulares, fixa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>12.0</td>\n",
       "      <td>oi, empresa, bilhoes, brasil, mercado, setor, ano, presidente, empresas, acoes, segundo, governo, telefonica, investimentos, companhia, plano, vivo, milhoes, grupo, reais, operadora, pais, operacao, processo, participacao, tim, compra, cade, negocio, executivo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>13.0</td>\n",
       "      <td>internet, dados, acesso, rede, empresas, lei, projeto, marco_civil, neutralidade, texto, brasil, usuarios, conteudo, proposta, provedores, governo, servicos, operadoras, uso, camara, pais, presidente, regulamentacao, servico, exemplo, votacao, conexao, senado, facebook, forma</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>14.0</td>\n",
       "      <td>operadoras, ligacoes, consumidor, servico, empresas, celular, tarifas, servicos, operadora, segundo, reajuste, fixa, telefone, numero, ligacao, ano, valor, chamadas, cobranca, telefonica, cliente, empresa, dias, caso, regras, usuario, partir, celulares, tarifa, movel</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>15.0</td>\n",
       "      <td>consumidor, celular, servico, numero, celulares, aparelhos, servicos, operadora, operadoras, reclamacoes, segundo, empresa, aparelho, defesa, consumidores, caso, atendimento, usuarios, dias, empresas, ano, telefone, bloqueio, clientes, cliente, sistema, movel, ligacoes, imei, dados</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>16.0</td>\n",
       "      <td>telefonica, brasil, empresa, tim, oi, mercado, leilao, empresas, tv, vivo, gvt, segundo, telecom_italia, faixa, bilhoes, operadora, pais, participacao, presidente, banda_larga, acordo, operacao, claro, compra, operadoras, milhoes, paulo, companhia, movel, grupo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>17.0</td>\n",
       "      <td>tv, brasil, segundo, milhoes, ano, rede, pais, banda_larga, digital, internet, tecnologia, mercado, servicos, servico, operadoras, cabo, setor, mil, anos, assinatura, paga, acesso, cidades, empresas, canais, televisao, dados, assinantes, presidente, movel</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>18.0</td>\n",
       "      <td>oi, credores, plano, empresa, bilhoes, recuperacao_judicial, processo, conselho, companhia, justica, decisao, divida, acionistas, operadora, acordo, governo, dividas, administracao, caso, assembleia, presidente, intervencao, rio, segundo, pedido, proposta, grupo, dia, recuperacao, multas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>19.0</td>\n",
       "      <td>servico, consumidor, internet, operadoras, empresa, operadora, dados, celular, servicos, clientes, segundo, cliente, empresas, plano, usuarios, vivo, consumidores, conta, planos, tim, movel, usuario, acesso, caso, defesa, site, dia, rede, franquia, claro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>20.0</td>\n",
       "      <td>presidente, governo, ministro, federal, ministerio, lula, temer, camara, senado, justica, stf, estado, publico, dia, ano, segundo, republica, mandato, paulo, ontem, cargo, caso, nome, deputado, lava_jato, pt, vagas, decisao, pmdb, deputados</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>21.0</td>\n",
       "      <td>empresas, internet, operadoras, servico, fixa, servicos, banda_larga, dados, consumidor, segundo, franquia, acesso, velocidade, usuarios, consumidores, planos, presidente, movel, qualidade, regulamento, regras, proposta, usuario, clientes, tv, plano, rede, dias, contratos, caso</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>22.0</td>\n",
       "      <td>leilao, faixa, empresas, segundo, servico, mhz, brasil, operadoras, frequencia, edital, movel, banda_larga, empresa, paulo, ano, milhoes, pais, governo, internet, presidente, bilhoes, celular, tecnologia, ghz, tv, banda, tim, licencas, cobertura, ministro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>23.0</td>\n",
       "      <td>celular, segundo, internet, anos, radio, paulo, rede, pessoas, celulares, sinal, empresas, mil, antenas, equipamentos, cidade, aparelhos, acordo, comunicacao, aparelho, problema, foto, servico, empresa, dois, uso, rio, operacao, telefone, sistema, conta</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>24.0</td>\n",
       "      <td>empresas, segundo, presidente, ministro, ministerio, governo, servicos, telefonica, empresa, brasil, servico, paulo, banda_larga, comunicacoes, estado, ano, caso, decisao, operadoras, fixa, acordo, processo, dia, publico, setor, justica, oi, milhoes, area, contratos</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>25.0</td>\n",
       "      <td>milhoes, ano, mercado, segundo, mil, cento, numero, brasil, crescimento, servicos, queda, clientes, linhas, dados, mes, passado, pais, acessos, base, assinantes, tim, oi, celulares, claro, movel, vivo, tv, total, banda_larga, celular</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>26.0</td>\n",
       "      <td>milhoes, celulares, linhas, numero, estados, segundo, movel, rio, celular, ano, paulo, oi, janeiro, pais, tim, operadoras, numeros, brasil, partir, mes, mil, claro, nono_digito, usuarios, acessos, mercado, vivo, ligacoes, total, chamadas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>27.0</td>\n",
       "      <td>milhoes, tv, paulo, rio, segundo, digital, sinal, ano, cidades, local, mil, janeiro, municipios, partir, area, mudanca, dia, numero, celulares, numeros, estado, regiao, ligacoes, acordo, desligamento, telefone, nono_digito, movel, brasil, pais</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>28.0</td>\n",
       "      <td>empresas, servicos, internet, operadoras, servico, segundo, presidente, rede, acesso, proposta, governo, fixa, banda_larga, brasil, licitacao, setor, regras, mercado, redes, ministro, lei, dados, banda, uso, modelo, contratos, celular, leilao, consulta_publica, concessionarias</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>29.0</td>\n",
       "      <td>empresas, telefonica, empresa, servicos, operadoras, segundo, servico, presidente, brasil, fixa, mercado, embratel, metas, celular, telemar, operadora, telecom, decisao, tv, ano, tarifas, setor, milhoes, paulo, regras, rede, oi, pais, acordo, concessao</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>30.0</td>\n",
       "      <td>paulo, rio, cidade, mil, agua, sinal, estado, anos, regiao, casa, segundo, local, dia, area, empresa, grupo, diretor, sp, prefeitura, recursos_hidricos, dois, acordo, moradores, trabalho, sede, rua, foto, pessoas, gente, gestao</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Topico  \\\n",
       "0      1.0   \n",
       "1      2.0   \n",
       "2      3.0   \n",
       "3      4.0   \n",
       "4      5.0   \n",
       "5      6.0   \n",
       "6      7.0   \n",
       "7      8.0   \n",
       "8      9.0   \n",
       "9     10.0   \n",
       "10    11.0   \n",
       "11    12.0   \n",
       "12    13.0   \n",
       "13    14.0   \n",
       "14    15.0   \n",
       "15    16.0   \n",
       "16    17.0   \n",
       "17    18.0   \n",
       "18    19.0   \n",
       "19    20.0   \n",
       "20    21.0   \n",
       "21    22.0   \n",
       "22    23.0   \n",
       "23    24.0   \n",
       "24    25.0   \n",
       "25    26.0   \n",
       "26    27.0   \n",
       "27    28.0   \n",
       "28    29.0   \n",
       "29    30.0   \n",
       "\n",
       "                                                                                                                                                                                                                                                                                            Keywords  \n",
       "0      servico, empresa, internet, consumidor, justica, problema, caso, servicos, vivo, operadora, whatsapp, bloqueio, decisao, operadoras, dia, celular, aplicativo, telefonica, segundo, informacoes, telefone, contato, empresas, informou, problemas, rede, claro, atendimento, usuarios, defesa  \n",
       "1             governo, presidente, ministro, empresas, lei, setor, projeto, banda_larga, ministerio, segundo, servicos, comunicacoes, ano, pais, servico, investimentos, bilhoes, proposta, geral, anos, plano, fixa, senado, recursos, telebras, bernardo, concessao, operadoras, camara, congresso  \n",
       "2                oi, empresa, bilhoes, recuperacao_judicial, companhia, credores, operadora, brasil, divida, plano, segundo, pedido, processo, grupo, investimentos, acordo, acoes, telefonica, tim, empresas, proposta, mercado, acionistas, governo, presidente, rio, milhoes, vivo, dividas, caso  \n",
       "3                             empresa, telefonica, embratel, empresas, decisao, servico, segundo, brasil, justica, oi, operadora, servicos, telemar, presidente, telecom, processo, pedido, acordo, federal, tim, fixa, operadoras, caso, ministro, ministerio, prazo, informou, paulo, ano, celular  \n",
       "4                 governo, presidente, brasil, ministro, empresas, segundo, ministerio, setor, lei, pais, internet, comunicacoes, projeto, dados, estados_unidos, bernardo, paulo, brasileiro, espionagem, informacoes, senado, camara, caso, estado, seguranca, paises, anos, eua, acordo, brasilia  \n",
       "5                                          brasil, milhoes, celular, mercado, ano, empresa, segundo, celulares, tim, operadora, pais, operadoras, rede, mil, movel, clientes, aparelhos, tecnologia, dados, servico, paulo, vivo, claro, numero, oi, passado, servicos, empresas, apple, smartphones  \n",
       "6                                                         brasil, paulo, governo, anos, pais, agora, pessoas, presidente, estado, mundo, grande, bem, lula, politica, dilma, gente, publico, vida, tempo, dizer, pt, brasileiro, exemplo, coisa, historia, vez, dinheiro, forma, brasileiros, melhor  \n",
       "7                           tv, digital, sinal, desligamento, sinal_analogico, televisao, emissoras, cidades, dia, governo, receber, conversor, canais, rio, partir, transmissao, regiao, paulo, municipios, ministerio, mil, populacao, processo, ano, aberta, pais, qualidade, numero, globo, kits  \n",
       "8                                                    brasil, dia, empresa, tv, tecnologia, uso, sistema, pais, anos, drones, mercado, setor, segundo, mundo, anac, evento, digital, pessoas, paulo, nova, produtos, projeto, aparelho, empresas, brasileiro, mil, publico, tres, seguranca, controle  \n",
       "9                   servicos, empresa, tim, empresas, oi, reclamacoes, servico, qualidade, operadoras, clientes, segundo, atendimento, claro, movel, vivo, operadora, ano, consumidor, rede, milhoes, investimentos, paulo, usuarios, problemas, consumidores, plano, internet, planos, setor, metas  \n",
       "10                                                milhoes, ano, servicos, segundo, operadoras, empresas, mil, oi, servico, movel, linhas, tim, bilhoes, passado, claro, celular, clientes, valor, pais, vivo, reclamacoes, brasil, empresa, acordo, aumento, total, dados, recursos, celulares, fixa  \n",
       "11                              oi, empresa, bilhoes, brasil, mercado, setor, ano, presidente, empresas, acoes, segundo, governo, telefonica, investimentos, companhia, plano, vivo, milhoes, grupo, reais, operadora, pais, operacao, processo, participacao, tim, compra, cade, negocio, executivo  \n",
       "12              internet, dados, acesso, rede, empresas, lei, projeto, marco_civil, neutralidade, texto, brasil, usuarios, conteudo, proposta, provedores, governo, servicos, operadoras, uso, camara, pais, presidente, regulamentacao, servico, exemplo, votacao, conexao, senado, facebook, forma  \n",
       "13                       operadoras, ligacoes, consumidor, servico, empresas, celular, tarifas, servicos, operadora, segundo, reajuste, fixa, telefone, numero, ligacao, ano, valor, chamadas, cobranca, telefonica, cliente, empresa, dias, caso, regras, usuario, partir, celulares, tarifa, movel  \n",
       "14        consumidor, celular, servico, numero, celulares, aparelhos, servicos, operadora, operadoras, reclamacoes, segundo, empresa, aparelho, defesa, consumidores, caso, atendimento, usuarios, dias, empresas, ano, telefone, bloqueio, clientes, cliente, sistema, movel, ligacoes, imei, dados  \n",
       "15                             telefonica, brasil, empresa, tim, oi, mercado, leilao, empresas, tv, vivo, gvt, segundo, telecom_italia, faixa, bilhoes, operadora, pais, participacao, presidente, banda_larga, acordo, operacao, claro, compra, operadoras, milhoes, paulo, companhia, movel, grupo  \n",
       "16                                   tv, brasil, segundo, milhoes, ano, rede, pais, banda_larga, digital, internet, tecnologia, mercado, servicos, servico, operadoras, cabo, setor, mil, anos, assinatura, paga, acesso, cidades, empresas, canais, televisao, dados, assinantes, presidente, movel  \n",
       "17  oi, credores, plano, empresa, bilhoes, recuperacao_judicial, processo, conselho, companhia, justica, decisao, divida, acionistas, operadora, acordo, governo, dividas, administracao, caso, assembleia, presidente, intervencao, rio, segundo, pedido, proposta, grupo, dia, recuperacao, multas  \n",
       "18                                    servico, consumidor, internet, operadoras, empresa, operadora, dados, celular, servicos, clientes, segundo, cliente, empresas, plano, usuarios, vivo, consumidores, conta, planos, tim, movel, usuario, acesso, caso, defesa, site, dia, rede, franquia, claro  \n",
       "19                                                  presidente, governo, ministro, federal, ministerio, lula, temer, camara, senado, justica, stf, estado, publico, dia, ano, segundo, republica, mandato, paulo, ontem, cargo, caso, nome, deputado, lava_jato, pt, vagas, decisao, pmdb, deputados  \n",
       "20            empresas, internet, operadoras, servico, fixa, servicos, banda_larga, dados, consumidor, segundo, franquia, acesso, velocidade, usuarios, consumidores, planos, presidente, movel, qualidade, regulamento, regras, proposta, usuario, clientes, tv, plano, rede, dias, contratos, caso  \n",
       "21                                   leilao, faixa, empresas, segundo, servico, mhz, brasil, operadoras, frequencia, edital, movel, banda_larga, empresa, paulo, ano, milhoes, pais, governo, internet, presidente, bilhoes, celular, tecnologia, ghz, tv, banda, tim, licencas, cobertura, ministro  \n",
       "22                                     celular, segundo, internet, anos, radio, paulo, rede, pessoas, celulares, sinal, empresas, mil, antenas, equipamentos, cidade, aparelhos, acordo, comunicacao, aparelho, problema, foto, servico, empresa, dois, uso, rio, operacao, telefone, sistema, conta  \n",
       "23                        empresas, segundo, presidente, ministro, ministerio, governo, servicos, telefonica, empresa, brasil, servico, paulo, banda_larga, comunicacoes, estado, ano, caso, decisao, operadoras, fixa, acordo, processo, dia, publico, setor, justica, oi, milhoes, area, contratos  \n",
       "24                                                         milhoes, ano, mercado, segundo, mil, cento, numero, brasil, crescimento, servicos, queda, clientes, linhas, dados, mes, passado, pais, acessos, base, assinantes, tim, oi, celulares, claro, movel, vivo, tv, total, banda_larga, celular  \n",
       "25                                                     milhoes, celulares, linhas, numero, estados, segundo, movel, rio, celular, ano, paulo, oi, janeiro, pais, tim, operadoras, numeros, brasil, partir, mes, mil, claro, nono_digito, usuarios, acessos, mercado, vivo, ligacoes, total, chamadas  \n",
       "26                                               milhoes, tv, paulo, rio, segundo, digital, sinal, ano, cidades, local, mil, janeiro, municipios, partir, area, mudanca, dia, numero, celulares, numeros, estado, regiao, ligacoes, acordo, desligamento, telefone, nono_digito, movel, brasil, pais  \n",
       "27             empresas, servicos, internet, operadoras, servico, segundo, presidente, rede, acesso, proposta, governo, fixa, banda_larga, brasil, licitacao, setor, regras, mercado, redes, ministro, lei, dados, banda, uso, modelo, contratos, celular, leilao, consulta_publica, concessionarias  \n",
       "28                                      empresas, telefonica, empresa, servicos, operadoras, segundo, servico, presidente, brasil, fixa, mercado, embratel, metas, celular, telemar, operadora, telecom, decisao, tv, ano, tarifas, setor, milhoes, paulo, regras, rede, oi, pais, acordo, concessao  \n",
       "29                                                               paulo, rio, cidade, mil, agua, sinal, estado, anos, regiao, casa, segundo, local, dia, area, empresa, grupo, diretor, sp, prefeitura, recursos_hidricos, dois, acordo, moradores, trabalho, sede, rua, foto, pessoas, gente, gestao  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lda_model = gensim.models.ldamodel.LdaModel.load('media-anatel-option1-ldamodel')\n",
    "\n",
    "def print_topics(ldamodel=lda_model):\n",
    "    topics_df = pd.DataFrame()\n",
    "\n",
    "    for topic_num in range(num_topics):\n",
    "        topic_row = ldamodel.show_topic(topic_num,topn=30)\n",
    "        topic_keywords = \", \".join([word for word, prop in topic_row])\n",
    "        topics_df = topics_df.append(pd.Series([int(topic_num)+1, topic_keywords]), ignore_index=True)\n",
    "    topics_df.columns = ['Topico', 'Keywords']\n",
    "    return topics_df\n",
    "    \n",
    "topics_df = print_topics(lda_model)\n",
    "pd.options.display.max_colwidth = 350\n",
    "topics_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Top-3 notícias mais representativas para cada tópico"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Topic_Num</th>\n",
       "      <th>Topic_Perc_Contrib</th>\n",
       "      <th>Text</th>\n",
       "      <th>Id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Publicidade Uma juíza do Rio de Janeiro determinou nesta terça-feira (19) o bloqueio do WhatsApp no Brasil de modo imediato. O motivo, assim como aconteceu em outras oportunidades no Brasil, envolve o fato de o aplicativo não compartilhar informações sobre investigações criminais. A decisão é d...</td>\n",
       "      <td>3887418</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A juíza Daniela Barbosa Assumpção de Souza, da 2ª Vara Criminal de Duque de Caxias, determinou à Agência Nacional de Telecomunicações (Anatel) e a todas as operadoras de telefonia celular que \"providenciem, imediatamente, a suspensão do serviço do aplicativo Whatsapp... até que a ordem judicial...</td>\n",
       "      <td>3148656</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>O leitor Robinson Redondo ficou sem sinal de TV, internet e telefone da NET. Ao entrar em contato com a operadora, descobriu que “ele mesmo teria ligado” para cancelar os serviços. Robinson afirma que nunca pediu o cancelamento do contrato com a NET. Em resposta, a NET informou que entrou em co...</td>\n",
       "      <td>4424120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Comissão aprova fundo de telecomunicação A Comissão de Infra-Estrutura do Senado aprovou, em sua sessão de hoje, projeto que institui o Fundo de Universalização dos Serviços de Telecomunicações (Fust). A sessão referendou a redação final do parecer do senador Saturnino Braga (PSB-RJ), incluindo...</td>\n",
       "      <td>3141617</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Comissão de Infraestrutura do Senado Federal aprovou nesta terça-feira (4) a indicação de Juarez Quadros para o cargo de conselheiro e presidente da Agência Nacional de Telecomunicações (Anatel). Quadros foi ministro das Comunicações do ex-presidente Fernando Henrique Cardoso. A indicação ago...</td>\n",
       "      <td>4187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>O projeto de lei que trata de mudanças na Lei Geral de Telecomunicações foi aprovado hoje (6) na Comissão Especial do Desenvolvimento Nacional do Senado. Uma das principais alterações é a que permite a adaptação da modalidade de outorga do serviço de telefonia fixa de concessão para autorização...</td>\n",
       "      <td>4304926</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>O Globo Tamanho do texto SÃO PAULO - O presidente da Agência Nacional de Telecomunicações (Anatel), Juarez Quadros, afirmou que a autarquia pode estabelecer condições para autorizar a oficialização das mudanças no Conselho de Administração da Oi propostas pelo fundo Societé Mondiale. — Toda alt...</td>\n",
       "      <td>3752035</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Oi teve prejuízo de R$ 1,021 bilhão no 3º trimestre (Foto: REUTERS/Nacho Doce) O Ministério Público do Rio de Janeiro emitiu parecer favorável ao processamento da recuperação judicial da Oi. O pedido foi anunciado pela operadora de telefonia na segunda-feira (20), e inclui no processo um total ...</td>\n",
       "      <td>95140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Dois grupos de credores da Oi informaram nesta quarta-feira (23) que chegaram a um consenso e vão apresentar uma nova proposta alternativa para recuperação judicial da Oi. A intenção deles é trocar R$ 26 bilhões da dívida da empresa com os credores estrangeiros (donos de bonds, títulos de dívid...</td>\n",
       "      <td>4805763</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Telefônica suspende DDD para fora do Estado de São Paulo A Telefônica suspendeu nesta quarta-feira as operações de longa distância para fora do Estado de São Paulo. A medida acata a decisão da Justiça que, na sexta-feira passada, concedeu liminar à Embratel suspendendo a autorização dada pela A...</td>\n",
       "      <td>3029755</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A TIM entrou com duas ações na Justiça Federal de Brasília para garantir sua participação no leilão da Banda H - última faixa disponível para uso da tecnologia de terceira geração (3G) - e de sobras de frequência do Serviço Móvel Pessoal (SMP). O alvo das duas ações é a suspensão da exigibilida...</td>\n",
       "      <td>2090767</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Secretaria de Direito Econômico (SDE) do Ministério da Justiça instaurou hoje processo administrativo para investigar a antiga Telemar, atualmente Oi, sobre um suposto plano da empresa contra a operadora concorrente Vésper, em 2002. O Conselho Administrativo de Defesa Econômica (Cade), que ju...</td>\n",
       "      <td>2192532</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Nesse domingo (07), antes de saber das novas denúncias mostradas na reportagem desta segunda-feira (08) do jornal O Globo, as autoridades brasileiras reagiram à quebra de sigilo feita pelo serviço de inteligência americano aqui no Brasil. O governo quer explicações dos Estados Unidos sobre as d...</td>\n",
       "      <td>1146255</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>O governo abriu uma investigação para apurar as denúncias, feitas pelo jornal O Globo, de espionagem eletrônica americana em solo brasileiro. O governo americano promete ajudar a esclarecer através de contatos diplomáticos, mas se recusa a comentar o teor das acusações. Na noite desta segunda-f...</td>\n",
       "      <td>1145149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>BRASÍLIA - O ministro da Justiça, José Eduardo Cardozo, anunciou nesta terça-feira, 9, a criação de um grupo técnico para avaliar, do ponto de vista da informática e jurídico, as suspeitas de que telefonemas e transmissões de dados de empresas e cidadãos brasileiros foram alvo de espionagem por...</td>\n",
       "      <td>1551824</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Agência Nacional de Telecomunicações (Anatel) corrigiu hoje (14) números divulgados ontem (13) sobre o mercado de telefonia celular no Brasil. Segundo a agência, em agosto a operadora Vivo liderava o mercado com 28,72% de participação (em vez de 28,85%, como foi informado ontem); seguida da T...</td>\n",
       "      <td>3280529</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Publicidade A Anatel (Agência Nacional de Telecomunicações) homologou os novos modelos do smartphone da Apple, o iPhone 5c e o iPhone 5s. Isso significa que os aparelhos podem ser comercializados legalmente no país; eles devem ser postos à venda por aqui em dezembro. Em um documento divulgado n...</td>\n",
       "      <td>3926212</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Dell e a Positivo também preparam seus modelos. As chinesas Huawei e ZTE, fabricantes chinesas de equipamentos de telecomunicações, negociam com as operadoras trazer para o País os seus tablets, que estão em processo de homologação na Anatel. Para Clarke, da HP, os tablets acabaram com os net...</td>\n",
       "      <td>2096506</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>7.0</td>\n",
       "      <td>0.8170</td>\n",
       "      <td>SÃO PAULO - O presidente Luiz Inácio Lula da Silva fez nesta quarta-feira, 3, seu primeiro discurso público ao lado da presidente eleita Dilma Rousseff. Veja o discurso na íntegra: \"Eu pedi essa conversa com a companheira Dilma Roussef porque ela vai ter um merecido descanso, já que logo na seg...</td>\n",
       "      <td>2114808</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>7.0</td>\n",
       "      <td>0.7954</td>\n",
       "      <td>Dia Nacional da Cultura 2011 -Morria Alfonso Cano, líder máximo das Forças Armadas Revolucionárias da Colômbia (Farc) 2004 – O presidente russo Vladimir Putin ratificava o Protocolo de Kyoto, permitindo que este entrasse em vigor, sete anos após sua assinatura 1997 – Era implantada a Agência Na...</td>\n",
       "      <td>1666630</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>7.0</td>\n",
       "      <td>0.7875</td>\n",
       "      <td>O economista Luiz Carlos Mendonça de Barros disse à BBC Brasil que o fato de o Brasil ter sido relativamente menos afetado do que outras economias pela crise mundial, e estar saindo dela de uma forma mais rápida, é resultado da combinação de políticas adotadas pelos governos Fernando Henrique e...</td>\n",
       "      <td>2356139</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>8.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Kit de conversores digitais que está sendo distribuído pelo Seja Digital em Campo Grande e Terenos (Foto: Reprodução/TV Morena) No dia 14 de agosto deste ano vai ocorrer o desligamento do sinal analógico de TV em Campo Grande e Terenos, atingindo 296,1 mil domicílios. Entretanto, como sinal dig...</td>\n",
       "      <td>5394768</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>8.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Sinal digital da Globo muda de canal em Escada O canal da TV Globo mudou para quem mora no município de Escada, na Zona da Mata, a partir desta terça-feira (1º). A pedido da Agência Nacional de Telecomunicações (Anatel), a alteração acontece apenas para quem usa TV digital, que passam a acompan...</td>\n",
       "      <td>5245144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>8.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Kit de conversores digitais que está sendo distribuído pelo Seja Digital em Campo Grande e Terenos (Foto: Reprodução/TV Morena) No dia 14 de agosto deste ano vai ocorrer o desligamento do sinal analógico de TV em Campo Grande e Terenos, atingindo 296,1 mil domicílios. Entretanto, como sinal dig...</td>\n",
       "      <td>5289671</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>9.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A proposta de norma debatida em seminário da Anac prevê a proibição de transporte de pessoas, animais e artigos perigosos por VANTs, que deverão ter equipamentos de comunicação fiscalizados pela Agência Nacional de Telecomunicações (Anatel). Mas o texto abre a possibilidade de que os drones sej...</td>\n",
       "      <td>1466805</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>9.0</td>\n",
       "      <td>0.9136</td>\n",
       "      <td>Veículos aéreos não tripulados, chamados de drones, precisam ser homologados pela Agência Nacional de Telecomunicações (Anatel) para serem operados. A regra vale para todas as unidades que emitem radiofrequência, presente em drones que fazem transmissão de imagens, por exemplo. O objetivo da me...</td>\n",
       "      <td>4355108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>9.0</td>\n",
       "      <td>0.8932</td>\n",
       "      <td>BRASÍLIA - A Agência Nacional de Aviação Civil (Anac) publicou nesta segunda-feira, 24, uma proposta para regulamentar a operação de drones, os chamados Veículos Aéreos Não Tripulados (VANTs) que não são usados para lazer, esporte ou competição. Documentos da agência propõem permitir a operação...</td>\n",
       "      <td>1466838</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>10.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>\"A TIM nega veementemente essa acusação de quedas propositais do Infinity\", disse o executivo em audiência pública na Comissão de Ciência e Tecnologia do Senado. \"Uma derrubada deliberada de chamadas é fraude, é crime, e precisa ter respaldo técnico e documental de altíssima segurança para ser ...</td>\n",
       "      <td>1721523</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>10.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A agência convocou uma coletiva de imprensa para as 17h30 desta quarta-feira para falar sobre a qualidade do serviço móvel no Brasil. Na entrevista, a Anatel deve anunciar ?duras? punições em relação à qualidade dos serviços, segundo a fonte. As três operadoras estão entre as empresas que mais ...</td>\n",
       "      <td>1734646</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>10.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Isso ocorre porque foi finalizado agora o prazo que a empresa teria para recorrer dentro dos trâmites permitidos na agência. Com o término do processo interno na Anatel, a operadora decidiu que vai recorrer à Justiça, segundo a assessoria da Vivo. Fazem parte das metas fixadas pelo governo iten...</td>\n",
       "      <td>1810202</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>11.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>BRASÍLIA - As operadoras de celulares entraram no alvo de investigação da Câmara. Deputados protocolaram nesta quarta-feira, 8, um requerimento de criação de uma Comissão Parlamentar de Inquérito (CPI) para apurar os preços cobrados entre as empresas de telefonia móvel para completar as ligaçõe...</td>\n",
       "      <td>1721501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>11.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Os autores da CPI argumentam que as empresas, apesar de cobrarem do consumidor, não usam os recursos dessa tarifa para investimentos no sistema. \"O usuário está subsidiando a tarifa de interlocução, mas o serviço prestado está de péssima qualidade, porque não há investimento\", afirmou o deputad...</td>\n",
       "      <td>1721477</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>11.0</td>\n",
       "      <td>0.9332</td>\n",
       "      <td>Arrecadação recorde eleva receitas do Tesouro em março A arrecadação recorde de impostos e contribuições sociais federais e o aumento das receitas com a taxa de fiscalização de funcionamento de serviços de telecomunicações recolhida pela Anatel contribuíram para o aumento das receitas do Tesour...</td>\n",
       "      <td>2913055</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>12.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Ações OI ON subiu 10% na semana e teve desempenho melhor que o do Ibovespa, que acumulou valorização de 3,02% no período. Os ganhos vieram na esteira das negociações com a Anatel sobre reajuste tarifário. A agência reguladora autorizou um aumento de 0,9767% para a telefonia fixa da companhia. A...</td>\n",
       "      <td>2369556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>12.0</td>\n",
       "      <td>0.9999</td>\n",
       "      <td>Paulo Furquim, do Cade, avisa que o conselho quer participar das mudanças de legislação na Anatel. Afinal, cabe ao Cade julgar o impacto de negócios como a possível compra da Brasil Telecom pela Oi.</td>\n",
       "      <td>2563956</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>12.0</td>\n",
       "      <td>0.9223</td>\n",
       "      <td>Segundo o órgão antitruste, ato de concentração permitiria à Time Warner ter acesso a informações sensíveis dos concorrentes por meio da Sky, enquanto a AT&amp;T teria conhecimento das condições negociadas pelos rivais por meio da Time Warner. A superintendência-geral do Conselho Administrativo de ...</td>\n",
       "      <td>4802725</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>13.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Por Murilo Roncolato - O Estado de S. Paulo Proposta de mudança levantada pela comissão de comunicação foi adiada para esta sexta dado o volume de contribuições Comissão dirigida por Tom Wheeler adiou prazo de comentários sobre neutralidade. FOTO: NYT Comissão dirigida por Tom Wheeler adiou pra...</td>\n",
       "      <td>1407688</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>13.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Relator decide adiar a votação para mudar pontos polêmicos, como a neutralidade e responsabilização dos provedores SÃO PAULO – A Comissão Especial deve começar em instantes a votação do Marco Civil da Internet. O relator, Alessandro Molon (PT-RJ), divulgou na semana passada o relatório final co...</td>\n",
       "      <td>1740579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>13.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>O Marco Civil da Internet, uma espécie de constituição da internet no Brasil, foi aprovado na Câmara dos Deputados na noite de terça-feira (25). O Marco Civil estabelece direitos e deveres dos internautas e segue agora para apreciação no Senado. O governo concordou em retirar do texto a exigênc...</td>\n",
       "      <td>858484</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>14.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Anatel anuncia aumento médio de 8% na telefonia fixa O conselheiro da Anatel Luiz Tito Cerasoli informou que as tarifas de serviços das concessionárias de telefonia fixa serão reajustadas em média em 8,07%. Para que essas tarifas possam vigorar, as operadoras têm de publicar os novos valores du...</td>\n",
       "      <td>3032609</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>14.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Telesp: promoção para amenizar aumento Os usuários de telefones celulares da Telesp Celular estão, a partir de hoje, pagando mais por ligações locais ou interurbanas. Na média, a cesta de tarifas foi reajustada em 5%, mas alguns itens têm valores até 44% maiores. A publicação da tabela com os n...</td>\n",
       "      <td>3131309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>14.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Ligação de fixo para celular terá reajuste de 9,1% A Anatel vai publicar amanhã no Diário Oficial a autorização para que as concessionárias de telefonia fixa reajustem suas tarifas em 9,1%, em média, das ligações feitas para telefone celular. As chamadas de longa distância terão reajuste de 7,5...</td>\n",
       "      <td>3123944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>15.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>São Paulo foi o estado com mais celulares bloqueados: 116.967 Arquivo/Agência Brasil Em dezembro do ano passado, foram bloqueados mais de 9,2 milhões de aparelhos celulares, um aumento de 20,97% em relação ao mesmo período de 2016. Os número constam do Cadastro Nacional de Estações Móveis Imped...</td>\n",
       "      <td>5050770</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>15.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Ao enviar a mensagem, o cliente receberá novo SMS como resposta: \"Mensagem recebida com sucesso. A partir de agora, você não receberá mais mensagens publicitárias desta Prestadora\". Segundo a agência reguladora, a mensagem publicitária só poderá ser enviada aos usuários que optarem previamente ...</td>\n",
       "      <td>1749259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>15.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A partir de hoje (9) os celulares irregulares, também chamados de piratas, habilitados a partir de 22 de fevereiro, serão bloqueados no Distrito Federal e em Goiás. A medida atende decisão da Agência Nacional de Telecomunicações (Anatel). Segundo a Anatel, os usuários que já têm aparelhos móvei...</td>\n",
       "      <td>5262058</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>16.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>BRASÍLIA - A Sky anunciou nesta quarta-feira, 4, a intenção de comprar a Acom Comunicações S.A., maior operadora de TV por assinatura e banda larga sem fio do País. A operação foi comunicada hoje pela Sky ao Conselho Administrativo de Defesa Econômica (Cade) e à Agência Nacional de Telecomunica...</td>\n",
       "      <td>1846922</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>16.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>\"Nós estivemos na semana passada (em Brasília) e a Vivo estará fornecendo as informações que forem pedidas... O que a Anatel pediu depois da apresentação que fizemos foram informações mais detalhadas por estado\", disse a jornalistas, após evento na sede da empresa em São Paulo. Sobre o impacto ...</td>\n",
       "      <td>1726575</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>16.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Publicidade A Superintendência-Geral do Cade (Conselho Administrativo de Defesa Econômica) recomendou a aprovação com restrições da aquisição da operadora de banda larga GVT pela Telefônica Brasil, condicionando o negócio à assinatura de acordos em controle de concentração entre a autarquia e a...</td>\n",
       "      <td>3905210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>17.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Provedores de internet começam a investir em redes de fibra óptica, à espera das novas licenças de TV a cabo prometidas pela Anatel, que devem permitir a eles oferecer pacotes de telefonia, televisão e banda larga. Para acompanhar a reportagem da Naiana Oscar, escrevi o texto abaixo: Nos último...</td>\n",
       "      <td>1945413</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>17.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Esta conclusão foi baseada em testes realizados pela Pontifícia Universidade Católica (PUC-RJ), motivados pela preocupação da indústria sobre possíveis interferências entre os dois sistemas. \"Os estudos apontaram que, mesmo nas eventuais situações desfavoráveis, a convivência entre os dois sist...</td>\n",
       "      <td>1438120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>17.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Uma das explicações para isso é a falta de licenças. Somente 282 municípios brasileiros têm operação de TV a cabo, e faz uma década que a Anatel não vende licenças para o serviço. O DTH (TV paga via satélite), por outro lado, cobre o País todo, e novas licenças estão disponíveis para quem estiv...</td>\n",
       "      <td>1945594</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>18.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Para viabilizar o aumento de capital previsto no plano de recuperação judicial aprovado em 2017, os credores da Oi estariam dispostos a negociar um “waiver” (perdão) de uma das condições acertadas. Está previsto que, para concretizar o aumento de capital, as pendências com a Agência Nacional de...</td>\n",
       "      <td>5197823</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>18.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Sede da Oi, no Leblon - Divulgação RIO - O Tribunal de Justiça do Rio de Janeiro (TJ-RJ) decidiu hoje que uma dívida de R$ 11 bilhões referente às multas da Agência Nacional de Telecomunicações (Anatel) deverá ser incluída no plano de recuperação judicial da Oi. A decisão, julgada pela 8ª Câmar...</td>\n",
       "      <td>4816241</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>18.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Agência Nacional de Telecomunicações (Anatel) prorrogou a consulta de interessados para administrador judicial do Processo 0203711-65.2016.8.19.0001 sobre o pedido de recuperação judicial do Grupo Oi. A decisão foi publicada hoje (8) no Diário Oficial da União. De acordo com a agência, pessoa...</td>\n",
       "      <td>3243169</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>19.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>SÃO PAULO - Os consumidores que compraram nesta segunda-feira chips de operadoras de telefonia que não podem ser ativados têm o direito a devolução integral do dinheiro, disse o diretor executivo da Fundação Procon-SP, Paulo Góes. A Agência Nacional de Telecomunicações (Anatel) determinou a sus...</td>\n",
       "      <td>1732782</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>19.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A determinação da Anatel para a suspensão da comercialização do Speedy foi tomada em razão das inúmeras reclamações de falhas na prestação do serviço de acesso à internet em alta velocidade. A suspensão é temporária e vai vigorar até que a empresa declare que foram implementadas medidas que ass...</td>\n",
       "      <td>2413839</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>19.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Além de ter de oferecer dados padronizados para facilitar a comparação, operadoras terão de guardar demandas de consumidores por mais tempo A partir de hoje (10 de novembro) entram em vigor duas regras cujo objetivo é aumentar a transparência nas relações de consumo dos serviços de telecomunica...</td>\n",
       "      <td>1359353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>20.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Agência Nacional de Telecomunicações (Anatel) Inscrições De 11 de julho a 1º de agosto Vagas 100 Salário De R$ 5.418,25 a R$ 11.403,90 Taxa R$ 50 e R$ 100 Provas 14 de setembro Os interessados em concorrer a uma das 100 vagas de nível médio e superior na Agência Nacional de Telecomunicações (An...</td>\n",
       "      <td>758437</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>20.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Agência Nacional de Telecomunicações (Anatel) Inscrições De 11 de julho a 1º de agosto Vagas 100 Salário De R$ 5.418,25 a R$ 11.403,90 Taxa R$ 50 e R$ 100 Provas 14 de setembro A Agência Nacional de Telecomunicações (Anatel) encerra nesta sexta-feira (1º) as inscrições do concurso público para ...</td>\n",
       "      <td>738370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>20.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Agência Nacional de Telecomunicações (Anatel) Inscrições De 11 de julho a 1º de agosto Vagas 100 Salário De R$ 5.418,25 a R$ 11.403,90 Taxa R$ 50 e R$ 100 Provas 14 de setembro A Agência Nacional de Telecomunicações (Anatel) divulgou edital de concurso público para 100 vagas de nível médio e su...</td>\n",
       "      <td>770791</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>21.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Procon do Paraná pedirá suspensão do reajuste da telefonia A Coordenadoria Estadual de Proteção e Defesa do Consumidor (Procon) do Paraná entrará amanhã com uma ação civil coletiva, no Tribunal de Justiça, contra o aumento de 28,75% aprovado na semana passada pela Agência Nacional de Telecomuni...</td>\n",
       "      <td>2958532</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>21.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Agora, as contribuições por formulário eletrônico devem ser encaminhadas para a Anatel até as 24 horas do dia 29 de abril e as manifestações por carta, fax ou correio eletrônico, até as 18 horas do mesmo dia. A ampliação do prazo atende a pedido formulado pelo Sindicato Nacional das Empresas de...</td>\n",
       "      <td>1591762</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>21.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A nova regra valerá para todos os planos de serviços oferecidos pelas prestadoras móveis e não apenas aos planos básicos e de referências. De acordo com o aviso de consulta pública, publicado nesta quinta-feira no Diário Oficial da União, o texto completo da proposta estará disponível, a partir...</td>\n",
       "      <td>1716278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>22.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Segundo Bernardo, porém, a Agência Nacional de Telecomunicações (Anatel) ainda não concluiu os estudos de viabilidade para a destinação do chamado \"dividendo digital\" para as empresas de telecomunicações. O ministro afirmou ter recebido representantes dos radiodifusores há 20 dias para começar ...</td>\n",
       "      <td>1723005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>22.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Agência Nacional de Telecomunicações (Anatel) aprovou nesta quinta-feira (31) a resolução e o regulamento para uso da faixa de frequência de 700 MHz para prestar serviço de telefonia e banda larga móvel de quarta geração (4G). Essa decisão é o primeiro passo para que a agência possa fazer o l...</td>\n",
       "      <td>998855</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>22.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Internet móvel rural fica sem ofertas no leilão 4G Nenhuma empresa mostrou interesse em oferecer internet móvel rural no leilão realizado nesta manhã pela Agência Nacional de Telecomunicações (Anatel). Como nenhuma das seis concorrentes apresentou uma oferta específica para essa frequência, a i...</td>\n",
       "      <td>1757786</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>23.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Polícia Federal, em Marília, o Núcleo de Combate à Corrupção da Procuradoria Regional da República 3ª Região (SP) e apoio da Anatel, deflagrou a Operação Miragem nesta quarta-feira, 10. A ação investiga irregularidade em grupo de comunicação. Estão sendo cumpridos 26 mandados judiciais expedi...</td>\n",
       "      <td>1194176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>23.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>PF fecha rádios clandestinas em São Paulo A Polícia Federal deflagrou, na manhã desta segunda-feira, a Operação Interferência, com o objetivo de fechar rádios pirata que atuam ilegalmente na capital paulista e também no Grande ABC. Cerca de 20 agentes de telecomunicação da Agência Nacional de T...</td>\n",
       "      <td>2747831</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>23.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Um homem foi preso na sexta-feira (5) vendendo 30 celulares roubados em um box da feira da cidade de Santo Antônio de Jesus, no recôncavo baiano. As informações são da Polícia Civil, que ainda apreendeu R$2,2 mil com o suspeito. Matheus, conforme apontam as investigações, é proprietário de um b...</td>\n",
       "      <td>5014444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>24.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Ex-vice da Anatel assume presidência da Hispamar Satelites O ex-vice-presidente da Anatel, Luiz Francisco T. Perrone, foi nomeado presidente da Hispamar Satelites, unidade brasileira que lançará e gerenciará o satélite Amazonas da Hispasat que coletará dados sobre Brasil. Perrone trabalhou ante...</td>\n",
       "      <td>3045833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>24.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A proposta faz parte do novo regulamento sobre áreas locais para o Serviço Telefônico Fixo Comutado (STFC), que amplia os critérios de definição de áreas locais, que passa a abranger o conjunto de municípios pertencentes a uma região metropolitana ou região integrada de desenvolvimento (Ride) q...</td>\n",
       "      <td>2066139</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>24.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A denúncia foi representada pela Agência Nacional de Telecomunicações (Anatel). O documento no Diário Oficial cita que a instauração do processo está baseada nas leis que regulam a concorrência no País, mas não especifica as ações que poderiam caracterizar a conduta anticompetitiva das operador...</td>\n",
       "      <td>1476158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>25.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A liderança do mercado de telefonia, porém, permanece com a Vivo, que, apesar de perder 0,17 ponto porcentual em maio ante abril, registra uma participação de mercado de 28,66%. A Oi, por sua vez, segue na quarta posição, com uma fatia de 18,74%, desempenho 0,03 ponto porcentual abaixo de abril...</td>\n",
       "      <td>1552887</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>25.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Oi encerrou setembro com 48,375 milhões de linhas, o que representou uma alta de 0,84% sobre a base de agosto, que era de 47,969 milhões. Dessa forma, a fatia de mercado da Oi atingiu 18,69% em setembro, uma alta de 0,09 pontos porcentuais sobre agosto. Mesmo assim, a Oi manteve-se com a quar...</td>\n",
       "      <td>1678093</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>25.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>BRASÍLIA - Os serviços de TV por Assinatura já chegaram a 23,6% dos domicílios do País, de acordo com estimativa da Agência Nacional de Telecomunicações (Anatel) referente ao mês de abril. Segundo a agência, 13,9 milhões de residências no Brasil já assinam o serviço, um crescimento de 2,07% em ...</td>\n",
       "      <td>1765660</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>26.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Oi não disponibiliza número de orelhões exigids pela Anatel no Ceará e em mais 11 estados. (Foto: Girlene Medeiros/G1 AM) As chamadas realizadas em telefones públicos em todo o estado do Ceará para telefones fixo ou celular de todo o país não serão cobradas pela operadora Oi até 30 de setembro ...</td>\n",
       "      <td>5179229</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>26.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Quem mora na Paraíba pode fazer ligações para telefones fixos de outros estados gratuitamente a partir de orelhões públicos da empresa Oi. A gratuidade foi estabelecida pela Anatel na quinta-feira (1º). Desde abril deste ano, as chamadas locais originadas em orelhões da operadora e destinadas a...</td>\n",
       "      <td>332653</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>26.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>As ligações para celulares de Pernambuco (DDDs 81 e 87), Alagoas (82), Paraíba (83), Rio Grande do Norte (84), Ceará (85 e 88) e Piauí (86 e 89) terão que incluir o nono dígito a partir deste domingo (31). A medida, que já vale para outros estados, consiste em digitar 9 antes dos outros oito nú...</td>\n",
       "      <td>450862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>27.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Após apagão iniciado por volta das 15h, a energia elétrica foi normalizada em Salvador por volta das 19h30 desta quarta-feira (28), de acordo com a Companhia Elétrica do Estado da Bahia (Coelba). A concessionária informou que a interrupção do abastecimento no Nordeste do país atingiu todos os 4...</td>\n",
       "      <td>1080542</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>27.0</td>\n",
       "      <td>0.8771</td>\n",
       "      <td>As novas cidades atendidas com o 4G da operadora são: Barra do Piraí (RJ), Macaé (RJ), Teresópolis (RJ), Volta Redonda (RJ), Bento Gonçalves (RS), Canoas (RS), Lajeado (RS), Farroupilha (RS), Santos (SP), Guarujá (SP), Cotia (SP), Florianópolis (SC), Joinville (SC), Maringá (PR), Cascavel (PR),...</td>\n",
       "      <td>1533012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>27.0</td>\n",
       "      <td>0.8703</td>\n",
       "      <td>Saguão do aeroporto fica sem luz na tarde desta quarta em Salvador (Foto: Riad Awad / Arquivo Pessoal) Grande parte da Bahia ficou sem luz na tarde desta quarta-feira (28), segundo informações da Companhia Elétrica do Estado da Bahia (Coelba). A queda de energia aconteceu por volta das 15h. Ain...</td>\n",
       "      <td>1081039</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>28.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Foi derrubado mais um obstáculo para que a Telebrás possa entrar no segmento de banda larga. A Agência Nacional de Telecomunicações (Anatel) aprovou hoje o pedido da estatal para a obtenção de licença do Serviço de Comunicação Multimídia (SCM), necessário para operar banda larga. \"Foi aprovado ...</td>\n",
       "      <td>2066210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>28.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Os objetivos das propostas em consulta pública são os de restringir o emprego ou modificar a destinação de determinadas radiofrequências ou faixas; promover a massificação do acesso à internet em alta velocidade (banda larga), principalmente a banda larga sem fio; incrementar o uso de tecnologi...</td>\n",
       "      <td>2417172</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>28.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Agência Nacional de Energia Elétrica (Aneel) aprovou hoje (16) as regras para compartilhamento de postes entre distribuidoras de energia elétrica e prestadoras de serviços de telecomunicações. A regulamentação, aprovada na semana passada pela Agência Nacional de Telecomunicações (Anatel), pre...</td>\n",
       "      <td>3276748</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>29.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Anatel reduz multa aplicada à Telemar Norte Leste O conselho diretor da Agência Nacional de Telecomunicações (Anatel) reduziu multa aplicada à Telemar Norte Leste S/A, filial Minas Gerais, em processo de 2008. Segundo despacho publicado no Diário Oficial da União, a multa aplicada em processo d...</td>\n",
       "      <td>1527074</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>29.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>O relator da proposta, conselheiro Marcelo Bechara, ressaltou que diversos serviços passarão a ser feitos por uma única pessoa jurídica, de forma que uma série de receitas e despesas das operações entre as empresas do mesmo grupo, sobre as quais havia incidência de impostos, deixarão de existir...</td>\n",
       "      <td>1569225</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>29.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Cinco operadoras por região é um número alto O presidente da Telesp Celular, Abílio Ançã Henriques, considerou alto o número de cinco operadoras de telefonia celular por região, como está previsto no modelo da Agência Nacional de Telecomunicações (Anatel). Henriques esteve hoje com o ministro d...</td>\n",
       "      <td>3136720</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>30.0</td>\n",
       "      <td>0.9998</td>\n",
       "      <td>Centro espírita é depredado em Teresópolis e mãe de santo acredita em intolerância: Foi criminoso</td>\n",
       "      <td>4165127</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>30.0</td>\n",
       "      <td>0.9751</td>\n",
       "      <td>Publicidade Militantes do MTST (Movimento dos Trabalhadores Sem-Teto) invadiram no começo da tarde desta quarta-feira (16) o saguão de entrada da sede da construtora Even, no Jardim Europa, na zona oeste de São Paulo. Os manifestantes são contrários ao despejo da ocupação Portal do Povo, na reg...</td>\n",
       "      <td>4299112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>30.0</td>\n",
       "      <td>0.9567</td>\n",
       "      <td>Publicidade Duas coordenadoras do MTST (Movimento dos Trabalhadores Sem-Teto) foram recebidas por representantes da construtora Even no fim da tarde desta quarta-feira (16) após um grupo de sem-teto invadir uma área do prédio em que funciona a empresa, no Jardim Europa, na zona oeste de São Pau...</td>\n",
       "      <td>4299096</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Topic_Num  Topic_Perc_Contrib  \\\n",
       "1         1.0              1.0000   \n",
       "2         1.0              1.0000   \n",
       "3         1.0              1.0000   \n",
       "4         2.0              1.0000   \n",
       "5         2.0              1.0000   \n",
       "6         2.0              1.0000   \n",
       "7         3.0              1.0000   \n",
       "8         3.0              1.0000   \n",
       "9         3.0              1.0000   \n",
       "10        4.0              1.0000   \n",
       "11        4.0              1.0000   \n",
       "12        4.0              1.0000   \n",
       "13        5.0              1.0000   \n",
       "14        5.0              1.0000   \n",
       "15        5.0              1.0000   \n",
       "16        6.0              1.0000   \n",
       "17        6.0              1.0000   \n",
       "18        6.0              1.0000   \n",
       "19        7.0              0.8170   \n",
       "20        7.0              0.7954   \n",
       "21        7.0              0.7875   \n",
       "22        8.0              1.0000   \n",
       "23        8.0              1.0000   \n",
       "24        8.0              1.0000   \n",
       "25        9.0              1.0000   \n",
       "26        9.0              0.9136   \n",
       "27        9.0              0.8932   \n",
       "28       10.0              1.0000   \n",
       "29       10.0              1.0000   \n",
       "30       10.0              1.0000   \n",
       "31       11.0              1.0000   \n",
       "32       11.0              1.0000   \n",
       "33       11.0              0.9332   \n",
       "34       12.0              1.0000   \n",
       "35       12.0              0.9999   \n",
       "36       12.0              0.9223   \n",
       "37       13.0              1.0000   \n",
       "38       13.0              1.0000   \n",
       "39       13.0              1.0000   \n",
       "40       14.0              1.0000   \n",
       "41       14.0              1.0000   \n",
       "42       14.0              1.0000   \n",
       "43       15.0              1.0000   \n",
       "44       15.0              1.0000   \n",
       "45       15.0              1.0000   \n",
       "46       16.0              1.0000   \n",
       "47       16.0              1.0000   \n",
       "48       16.0              1.0000   \n",
       "49       17.0              1.0000   \n",
       "50       17.0              1.0000   \n",
       "51       17.0              1.0000   \n",
       "52       18.0              1.0000   \n",
       "53       18.0              1.0000   \n",
       "54       18.0              1.0000   \n",
       "55       19.0              1.0000   \n",
       "56       19.0              1.0000   \n",
       "57       19.0              1.0000   \n",
       "58       20.0              1.0000   \n",
       "59       20.0              1.0000   \n",
       "60       20.0              1.0000   \n",
       "61       21.0              1.0000   \n",
       "62       21.0              1.0000   \n",
       "63       21.0              1.0000   \n",
       "64       22.0              1.0000   \n",
       "65       22.0              1.0000   \n",
       "66       22.0              1.0000   \n",
       "67       23.0              1.0000   \n",
       "68       23.0              1.0000   \n",
       "69       23.0              1.0000   \n",
       "70       24.0              1.0000   \n",
       "71       24.0              1.0000   \n",
       "72       24.0              1.0000   \n",
       "73       25.0              1.0000   \n",
       "74       25.0              1.0000   \n",
       "75       25.0              1.0000   \n",
       "76       26.0              1.0000   \n",
       "77       26.0              1.0000   \n",
       "78       26.0              1.0000   \n",
       "79       27.0              1.0000   \n",
       "80       27.0              0.8771   \n",
       "81       27.0              0.8703   \n",
       "82       28.0              1.0000   \n",
       "83       28.0              1.0000   \n",
       "84       28.0              1.0000   \n",
       "85       29.0              1.0000   \n",
       "86       29.0              1.0000   \n",
       "87       29.0              1.0000   \n",
       "88       30.0              0.9998   \n",
       "89       30.0              0.9751   \n",
       "90       30.0              0.9567   \n",
       "\n",
       "                                                                                                                                                                                                                                                                                                           Text  \\\n",
       "1    Publicidade Uma juíza do Rio de Janeiro determinou nesta terça-feira (19) o bloqueio do WhatsApp no Brasil de modo imediato. O motivo, assim como aconteceu em outras oportunidades no Brasil, envolve o fato de o aplicativo não compartilhar informações sobre investigações criminais. A decisão é d...   \n",
       "2    A juíza Daniela Barbosa Assumpção de Souza, da 2ª Vara Criminal de Duque de Caxias, determinou à Agência Nacional de Telecomunicações (Anatel) e a todas as operadoras de telefonia celular que \"providenciem, imediatamente, a suspensão do serviço do aplicativo Whatsapp... até que a ordem judicial...   \n",
       "3    O leitor Robinson Redondo ficou sem sinal de TV, internet e telefone da NET. Ao entrar em contato com a operadora, descobriu que “ele mesmo teria ligado” para cancelar os serviços. Robinson afirma que nunca pediu o cancelamento do contrato com a NET. Em resposta, a NET informou que entrou em co...   \n",
       "4    Comissão aprova fundo de telecomunicação A Comissão de Infra-Estrutura do Senado aprovou, em sua sessão de hoje, projeto que institui o Fundo de Universalização dos Serviços de Telecomunicações (Fust). A sessão referendou a redação final do parecer do senador Saturnino Braga (PSB-RJ), incluindo...   \n",
       "5    A Comissão de Infraestrutura do Senado Federal aprovou nesta terça-feira (4) a indicação de Juarez Quadros para o cargo de conselheiro e presidente da Agência Nacional de Telecomunicações (Anatel). Quadros foi ministro das Comunicações do ex-presidente Fernando Henrique Cardoso. A indicação ago...   \n",
       "6    O projeto de lei que trata de mudanças na Lei Geral de Telecomunicações foi aprovado hoje (6) na Comissão Especial do Desenvolvimento Nacional do Senado. Uma das principais alterações é a que permite a adaptação da modalidade de outorga do serviço de telefonia fixa de concessão para autorização...   \n",
       "7    O Globo Tamanho do texto SÃO PAULO - O presidente da Agência Nacional de Telecomunicações (Anatel), Juarez Quadros, afirmou que a autarquia pode estabelecer condições para autorizar a oficialização das mudanças no Conselho de Administração da Oi propostas pelo fundo Societé Mondiale. — Toda alt...   \n",
       "8    Oi teve prejuízo de R$ 1,021 bilhão no 3º trimestre (Foto: REUTERS/Nacho Doce) O Ministério Público do Rio de Janeiro emitiu parecer favorável ao processamento da recuperação judicial da Oi. O pedido foi anunciado pela operadora de telefonia na segunda-feira (20), e inclui no processo um total ...   \n",
       "9    Dois grupos de credores da Oi informaram nesta quarta-feira (23) que chegaram a um consenso e vão apresentar uma nova proposta alternativa para recuperação judicial da Oi. A intenção deles é trocar R$ 26 bilhões da dívida da empresa com os credores estrangeiros (donos de bonds, títulos de dívid...   \n",
       "10   Telefônica suspende DDD para fora do Estado de São Paulo A Telefônica suspendeu nesta quarta-feira as operações de longa distância para fora do Estado de São Paulo. A medida acata a decisão da Justiça que, na sexta-feira passada, concedeu liminar à Embratel suspendendo a autorização dada pela A...   \n",
       "11   A TIM entrou com duas ações na Justiça Federal de Brasília para garantir sua participação no leilão da Banda H - última faixa disponível para uso da tecnologia de terceira geração (3G) - e de sobras de frequência do Serviço Móvel Pessoal (SMP). O alvo das duas ações é a suspensão da exigibilida...   \n",
       "12   A Secretaria de Direito Econômico (SDE) do Ministério da Justiça instaurou hoje processo administrativo para investigar a antiga Telemar, atualmente Oi, sobre um suposto plano da empresa contra a operadora concorrente Vésper, em 2002. O Conselho Administrativo de Defesa Econômica (Cade), que ju...   \n",
       "13   Nesse domingo (07), antes de saber das novas denúncias mostradas na reportagem desta segunda-feira (08) do jornal O Globo, as autoridades brasileiras reagiram à quebra de sigilo feita pelo serviço de inteligência americano aqui no Brasil. O governo quer explicações dos Estados Unidos sobre as d...   \n",
       "14   O governo abriu uma investigação para apurar as denúncias, feitas pelo jornal O Globo, de espionagem eletrônica americana em solo brasileiro. O governo americano promete ajudar a esclarecer através de contatos diplomáticos, mas se recusa a comentar o teor das acusações. Na noite desta segunda-f...   \n",
       "15   BRASÍLIA - O ministro da Justiça, José Eduardo Cardozo, anunciou nesta terça-feira, 9, a criação de um grupo técnico para avaliar, do ponto de vista da informática e jurídico, as suspeitas de que telefonemas e transmissões de dados de empresas e cidadãos brasileiros foram alvo de espionagem por...   \n",
       "16   A Agência Nacional de Telecomunicações (Anatel) corrigiu hoje (14) números divulgados ontem (13) sobre o mercado de telefonia celular no Brasil. Segundo a agência, em agosto a operadora Vivo liderava o mercado com 28,72% de participação (em vez de 28,85%, como foi informado ontem); seguida da T...   \n",
       "17   Publicidade A Anatel (Agência Nacional de Telecomunicações) homologou os novos modelos do smartphone da Apple, o iPhone 5c e o iPhone 5s. Isso significa que os aparelhos podem ser comercializados legalmente no país; eles devem ser postos à venda por aqui em dezembro. Em um documento divulgado n...   \n",
       "18   A Dell e a Positivo também preparam seus modelos. As chinesas Huawei e ZTE, fabricantes chinesas de equipamentos de telecomunicações, negociam com as operadoras trazer para o País os seus tablets, que estão em processo de homologação na Anatel. Para Clarke, da HP, os tablets acabaram com os net...   \n",
       "19   SÃO PAULO - O presidente Luiz Inácio Lula da Silva fez nesta quarta-feira, 3, seu primeiro discurso público ao lado da presidente eleita Dilma Rousseff. Veja o discurso na íntegra: \"Eu pedi essa conversa com a companheira Dilma Roussef porque ela vai ter um merecido descanso, já que logo na seg...   \n",
       "20   Dia Nacional da Cultura 2011 -Morria Alfonso Cano, líder máximo das Forças Armadas Revolucionárias da Colômbia (Farc) 2004 – O presidente russo Vladimir Putin ratificava o Protocolo de Kyoto, permitindo que este entrasse em vigor, sete anos após sua assinatura 1997 – Era implantada a Agência Na...   \n",
       "21   O economista Luiz Carlos Mendonça de Barros disse à BBC Brasil que o fato de o Brasil ter sido relativamente menos afetado do que outras economias pela crise mundial, e estar saindo dela de uma forma mais rápida, é resultado da combinação de políticas adotadas pelos governos Fernando Henrique e...   \n",
       "22   Kit de conversores digitais que está sendo distribuído pelo Seja Digital em Campo Grande e Terenos (Foto: Reprodução/TV Morena) No dia 14 de agosto deste ano vai ocorrer o desligamento do sinal analógico de TV em Campo Grande e Terenos, atingindo 296,1 mil domicílios. Entretanto, como sinal dig...   \n",
       "23   Sinal digital da Globo muda de canal em Escada O canal da TV Globo mudou para quem mora no município de Escada, na Zona da Mata, a partir desta terça-feira (1º). A pedido da Agência Nacional de Telecomunicações (Anatel), a alteração acontece apenas para quem usa TV digital, que passam a acompan...   \n",
       "24   Kit de conversores digitais que está sendo distribuído pelo Seja Digital em Campo Grande e Terenos (Foto: Reprodução/TV Morena) No dia 14 de agosto deste ano vai ocorrer o desligamento do sinal analógico de TV em Campo Grande e Terenos, atingindo 296,1 mil domicílios. Entretanto, como sinal dig...   \n",
       "25   A proposta de norma debatida em seminário da Anac prevê a proibição de transporte de pessoas, animais e artigos perigosos por VANTs, que deverão ter equipamentos de comunicação fiscalizados pela Agência Nacional de Telecomunicações (Anatel). Mas o texto abre a possibilidade de que os drones sej...   \n",
       "26   Veículos aéreos não tripulados, chamados de drones, precisam ser homologados pela Agência Nacional de Telecomunicações (Anatel) para serem operados. A regra vale para todas as unidades que emitem radiofrequência, presente em drones que fazem transmissão de imagens, por exemplo. O objetivo da me...   \n",
       "27   BRASÍLIA - A Agência Nacional de Aviação Civil (Anac) publicou nesta segunda-feira, 24, uma proposta para regulamentar a operação de drones, os chamados Veículos Aéreos Não Tripulados (VANTs) que não são usados para lazer, esporte ou competição. Documentos da agência propõem permitir a operação...   \n",
       "28   \"A TIM nega veementemente essa acusação de quedas propositais do Infinity\", disse o executivo em audiência pública na Comissão de Ciência e Tecnologia do Senado. \"Uma derrubada deliberada de chamadas é fraude, é crime, e precisa ter respaldo técnico e documental de altíssima segurança para ser ...   \n",
       "29   A agência convocou uma coletiva de imprensa para as 17h30 desta quarta-feira para falar sobre a qualidade do serviço móvel no Brasil. Na entrevista, a Anatel deve anunciar ?duras? punições em relação à qualidade dos serviços, segundo a fonte. As três operadoras estão entre as empresas que mais ...   \n",
       "30   Isso ocorre porque foi finalizado agora o prazo que a empresa teria para recorrer dentro dos trâmites permitidos na agência. Com o término do processo interno na Anatel, a operadora decidiu que vai recorrer à Justiça, segundo a assessoria da Vivo. Fazem parte das metas fixadas pelo governo iten...   \n",
       "31   BRASÍLIA - As operadoras de celulares entraram no alvo de investigação da Câmara. Deputados protocolaram nesta quarta-feira, 8, um requerimento de criação de uma Comissão Parlamentar de Inquérito (CPI) para apurar os preços cobrados entre as empresas de telefonia móvel para completar as ligaçõe...   \n",
       "32   Os autores da CPI argumentam que as empresas, apesar de cobrarem do consumidor, não usam os recursos dessa tarifa para investimentos no sistema. \"O usuário está subsidiando a tarifa de interlocução, mas o serviço prestado está de péssima qualidade, porque não há investimento\", afirmou o deputad...   \n",
       "33   Arrecadação recorde eleva receitas do Tesouro em março A arrecadação recorde de impostos e contribuições sociais federais e o aumento das receitas com a taxa de fiscalização de funcionamento de serviços de telecomunicações recolhida pela Anatel contribuíram para o aumento das receitas do Tesour...   \n",
       "34   Ações OI ON subiu 10% na semana e teve desempenho melhor que o do Ibovespa, que acumulou valorização de 3,02% no período. Os ganhos vieram na esteira das negociações com a Anatel sobre reajuste tarifário. A agência reguladora autorizou um aumento de 0,9767% para a telefonia fixa da companhia. A...   \n",
       "35                                                                                                       Paulo Furquim, do Cade, avisa que o conselho quer participar das mudanças de legislação na Anatel. Afinal, cabe ao Cade julgar o impacto de negócios como a possível compra da Brasil Telecom pela Oi.   \n",
       "36   Segundo o órgão antitruste, ato de concentração permitiria à Time Warner ter acesso a informações sensíveis dos concorrentes por meio da Sky, enquanto a AT&T teria conhecimento das condições negociadas pelos rivais por meio da Time Warner. A superintendência-geral do Conselho Administrativo de ...   \n",
       "37   Por Murilo Roncolato - O Estado de S. Paulo Proposta de mudança levantada pela comissão de comunicação foi adiada para esta sexta dado o volume de contribuições Comissão dirigida por Tom Wheeler adiou prazo de comentários sobre neutralidade. FOTO: NYT Comissão dirigida por Tom Wheeler adiou pra...   \n",
       "38   Relator decide adiar a votação para mudar pontos polêmicos, como a neutralidade e responsabilização dos provedores SÃO PAULO – A Comissão Especial deve começar em instantes a votação do Marco Civil da Internet. O relator, Alessandro Molon (PT-RJ), divulgou na semana passada o relatório final co...   \n",
       "39   O Marco Civil da Internet, uma espécie de constituição da internet no Brasil, foi aprovado na Câmara dos Deputados na noite de terça-feira (25). O Marco Civil estabelece direitos e deveres dos internautas e segue agora para apreciação no Senado. O governo concordou em retirar do texto a exigênc...   \n",
       "40   Anatel anuncia aumento médio de 8% na telefonia fixa O conselheiro da Anatel Luiz Tito Cerasoli informou que as tarifas de serviços das concessionárias de telefonia fixa serão reajustadas em média em 8,07%. Para que essas tarifas possam vigorar, as operadoras têm de publicar os novos valores du...   \n",
       "41   Telesp: promoção para amenizar aumento Os usuários de telefones celulares da Telesp Celular estão, a partir de hoje, pagando mais por ligações locais ou interurbanas. Na média, a cesta de tarifas foi reajustada em 5%, mas alguns itens têm valores até 44% maiores. A publicação da tabela com os n...   \n",
       "42   Ligação de fixo para celular terá reajuste de 9,1% A Anatel vai publicar amanhã no Diário Oficial a autorização para que as concessionárias de telefonia fixa reajustem suas tarifas em 9,1%, em média, das ligações feitas para telefone celular. As chamadas de longa distância terão reajuste de 7,5...   \n",
       "43   São Paulo foi o estado com mais celulares bloqueados: 116.967 Arquivo/Agência Brasil Em dezembro do ano passado, foram bloqueados mais de 9,2 milhões de aparelhos celulares, um aumento de 20,97% em relação ao mesmo período de 2016. Os número constam do Cadastro Nacional de Estações Móveis Imped...   \n",
       "44   Ao enviar a mensagem, o cliente receberá novo SMS como resposta: \"Mensagem recebida com sucesso. A partir de agora, você não receberá mais mensagens publicitárias desta Prestadora\". Segundo a agência reguladora, a mensagem publicitária só poderá ser enviada aos usuários que optarem previamente ...   \n",
       "45   A partir de hoje (9) os celulares irregulares, também chamados de piratas, habilitados a partir de 22 de fevereiro, serão bloqueados no Distrito Federal e em Goiás. A medida atende decisão da Agência Nacional de Telecomunicações (Anatel). Segundo a Anatel, os usuários que já têm aparelhos móvei...   \n",
       "46   BRASÍLIA - A Sky anunciou nesta quarta-feira, 4, a intenção de comprar a Acom Comunicações S.A., maior operadora de TV por assinatura e banda larga sem fio do País. A operação foi comunicada hoje pela Sky ao Conselho Administrativo de Defesa Econômica (Cade) e à Agência Nacional de Telecomunica...   \n",
       "47   \"Nós estivemos na semana passada (em Brasília) e a Vivo estará fornecendo as informações que forem pedidas... O que a Anatel pediu depois da apresentação que fizemos foram informações mais detalhadas por estado\", disse a jornalistas, após evento na sede da empresa em São Paulo. Sobre o impacto ...   \n",
       "48   Publicidade A Superintendência-Geral do Cade (Conselho Administrativo de Defesa Econômica) recomendou a aprovação com restrições da aquisição da operadora de banda larga GVT pela Telefônica Brasil, condicionando o negócio à assinatura de acordos em controle de concentração entre a autarquia e a...   \n",
       "49   Provedores de internet começam a investir em redes de fibra óptica, à espera das novas licenças de TV a cabo prometidas pela Anatel, que devem permitir a eles oferecer pacotes de telefonia, televisão e banda larga. Para acompanhar a reportagem da Naiana Oscar, escrevi o texto abaixo: Nos último...   \n",
       "50   Esta conclusão foi baseada em testes realizados pela Pontifícia Universidade Católica (PUC-RJ), motivados pela preocupação da indústria sobre possíveis interferências entre os dois sistemas. \"Os estudos apontaram que, mesmo nas eventuais situações desfavoráveis, a convivência entre os dois sist...   \n",
       "51   Uma das explicações para isso é a falta de licenças. Somente 282 municípios brasileiros têm operação de TV a cabo, e faz uma década que a Anatel não vende licenças para o serviço. O DTH (TV paga via satélite), por outro lado, cobre o País todo, e novas licenças estão disponíveis para quem estiv...   \n",
       "52   Para viabilizar o aumento de capital previsto no plano de recuperação judicial aprovado em 2017, os credores da Oi estariam dispostos a negociar um “waiver” (perdão) de uma das condições acertadas. Está previsto que, para concretizar o aumento de capital, as pendências com a Agência Nacional de...   \n",
       "53   Sede da Oi, no Leblon - Divulgação RIO - O Tribunal de Justiça do Rio de Janeiro (TJ-RJ) decidiu hoje que uma dívida de R$ 11 bilhões referente às multas da Agência Nacional de Telecomunicações (Anatel) deverá ser incluída no plano de recuperação judicial da Oi. A decisão, julgada pela 8ª Câmar...   \n",
       "54   A Agência Nacional de Telecomunicações (Anatel) prorrogou a consulta de interessados para administrador judicial do Processo 0203711-65.2016.8.19.0001 sobre o pedido de recuperação judicial do Grupo Oi. A decisão foi publicada hoje (8) no Diário Oficial da União. De acordo com a agência, pessoa...   \n",
       "55   SÃO PAULO - Os consumidores que compraram nesta segunda-feira chips de operadoras de telefonia que não podem ser ativados têm o direito a devolução integral do dinheiro, disse o diretor executivo da Fundação Procon-SP, Paulo Góes. A Agência Nacional de Telecomunicações (Anatel) determinou a sus...   \n",
       "56   A determinação da Anatel para a suspensão da comercialização do Speedy foi tomada em razão das inúmeras reclamações de falhas na prestação do serviço de acesso à internet em alta velocidade. A suspensão é temporária e vai vigorar até que a empresa declare que foram implementadas medidas que ass...   \n",
       "57   Além de ter de oferecer dados padronizados para facilitar a comparação, operadoras terão de guardar demandas de consumidores por mais tempo A partir de hoje (10 de novembro) entram em vigor duas regras cujo objetivo é aumentar a transparência nas relações de consumo dos serviços de telecomunica...   \n",
       "58   Agência Nacional de Telecomunicações (Anatel) Inscrições De 11 de julho a 1º de agosto Vagas 100 Salário De R$ 5.418,25 a R$ 11.403,90 Taxa R$ 50 e R$ 100 Provas 14 de setembro Os interessados em concorrer a uma das 100 vagas de nível médio e superior na Agência Nacional de Telecomunicações (An...   \n",
       "59   Agência Nacional de Telecomunicações (Anatel) Inscrições De 11 de julho a 1º de agosto Vagas 100 Salário De R$ 5.418,25 a R$ 11.403,90 Taxa R$ 50 e R$ 100 Provas 14 de setembro A Agência Nacional de Telecomunicações (Anatel) encerra nesta sexta-feira (1º) as inscrições do concurso público para ...   \n",
       "60   Agência Nacional de Telecomunicações (Anatel) Inscrições De 11 de julho a 1º de agosto Vagas 100 Salário De R$ 5.418,25 a R$ 11.403,90 Taxa R$ 50 e R$ 100 Provas 14 de setembro A Agência Nacional de Telecomunicações (Anatel) divulgou edital de concurso público para 100 vagas de nível médio e su...   \n",
       "61   Procon do Paraná pedirá suspensão do reajuste da telefonia A Coordenadoria Estadual de Proteção e Defesa do Consumidor (Procon) do Paraná entrará amanhã com uma ação civil coletiva, no Tribunal de Justiça, contra o aumento de 28,75% aprovado na semana passada pela Agência Nacional de Telecomuni...   \n",
       "62   Agora, as contribuições por formulário eletrônico devem ser encaminhadas para a Anatel até as 24 horas do dia 29 de abril e as manifestações por carta, fax ou correio eletrônico, até as 18 horas do mesmo dia. A ampliação do prazo atende a pedido formulado pelo Sindicato Nacional das Empresas de...   \n",
       "63   A nova regra valerá para todos os planos de serviços oferecidos pelas prestadoras móveis e não apenas aos planos básicos e de referências. De acordo com o aviso de consulta pública, publicado nesta quinta-feira no Diário Oficial da União, o texto completo da proposta estará disponível, a partir...   \n",
       "64   Segundo Bernardo, porém, a Agência Nacional de Telecomunicações (Anatel) ainda não concluiu os estudos de viabilidade para a destinação do chamado \"dividendo digital\" para as empresas de telecomunicações. O ministro afirmou ter recebido representantes dos radiodifusores há 20 dias para começar ...   \n",
       "65   A Agência Nacional de Telecomunicações (Anatel) aprovou nesta quinta-feira (31) a resolução e o regulamento para uso da faixa de frequência de 700 MHz para prestar serviço de telefonia e banda larga móvel de quarta geração (4G). Essa decisão é o primeiro passo para que a agência possa fazer o l...   \n",
       "66   Internet móvel rural fica sem ofertas no leilão 4G Nenhuma empresa mostrou interesse em oferecer internet móvel rural no leilão realizado nesta manhã pela Agência Nacional de Telecomunicações (Anatel). Como nenhuma das seis concorrentes apresentou uma oferta específica para essa frequência, a i...   \n",
       "67   A Polícia Federal, em Marília, o Núcleo de Combate à Corrupção da Procuradoria Regional da República 3ª Região (SP) e apoio da Anatel, deflagrou a Operação Miragem nesta quarta-feira, 10. A ação investiga irregularidade em grupo de comunicação. Estão sendo cumpridos 26 mandados judiciais expedi...   \n",
       "68   PF fecha rádios clandestinas em São Paulo A Polícia Federal deflagrou, na manhã desta segunda-feira, a Operação Interferência, com o objetivo de fechar rádios pirata que atuam ilegalmente na capital paulista e também no Grande ABC. Cerca de 20 agentes de telecomunicação da Agência Nacional de T...   \n",
       "69   Um homem foi preso na sexta-feira (5) vendendo 30 celulares roubados em um box da feira da cidade de Santo Antônio de Jesus, no recôncavo baiano. As informações são da Polícia Civil, que ainda apreendeu R$2,2 mil com o suspeito. Matheus, conforme apontam as investigações, é proprietário de um b...   \n",
       "70   Ex-vice da Anatel assume presidência da Hispamar Satelites O ex-vice-presidente da Anatel, Luiz Francisco T. Perrone, foi nomeado presidente da Hispamar Satelites, unidade brasileira que lançará e gerenciará o satélite Amazonas da Hispasat que coletará dados sobre Brasil. Perrone trabalhou ante...   \n",
       "71   A proposta faz parte do novo regulamento sobre áreas locais para o Serviço Telefônico Fixo Comutado (STFC), que amplia os critérios de definição de áreas locais, que passa a abranger o conjunto de municípios pertencentes a uma região metropolitana ou região integrada de desenvolvimento (Ride) q...   \n",
       "72   A denúncia foi representada pela Agência Nacional de Telecomunicações (Anatel). O documento no Diário Oficial cita que a instauração do processo está baseada nas leis que regulam a concorrência no País, mas não especifica as ações que poderiam caracterizar a conduta anticompetitiva das operador...   \n",
       "73   A liderança do mercado de telefonia, porém, permanece com a Vivo, que, apesar de perder 0,17 ponto porcentual em maio ante abril, registra uma participação de mercado de 28,66%. A Oi, por sua vez, segue na quarta posição, com uma fatia de 18,74%, desempenho 0,03 ponto porcentual abaixo de abril...   \n",
       "74   A Oi encerrou setembro com 48,375 milhões de linhas, o que representou uma alta de 0,84% sobre a base de agosto, que era de 47,969 milhões. Dessa forma, a fatia de mercado da Oi atingiu 18,69% em setembro, uma alta de 0,09 pontos porcentuais sobre agosto. Mesmo assim, a Oi manteve-se com a quar...   \n",
       "75   BRASÍLIA - Os serviços de TV por Assinatura já chegaram a 23,6% dos domicílios do País, de acordo com estimativa da Agência Nacional de Telecomunicações (Anatel) referente ao mês de abril. Segundo a agência, 13,9 milhões de residências no Brasil já assinam o serviço, um crescimento de 2,07% em ...   \n",
       "76   Oi não disponibiliza número de orelhões exigids pela Anatel no Ceará e em mais 11 estados. (Foto: Girlene Medeiros/G1 AM) As chamadas realizadas em telefones públicos em todo o estado do Ceará para telefones fixo ou celular de todo o país não serão cobradas pela operadora Oi até 30 de setembro ...   \n",
       "77   Quem mora na Paraíba pode fazer ligações para telefones fixos de outros estados gratuitamente a partir de orelhões públicos da empresa Oi. A gratuidade foi estabelecida pela Anatel na quinta-feira (1º). Desde abril deste ano, as chamadas locais originadas em orelhões da operadora e destinadas a...   \n",
       "78   As ligações para celulares de Pernambuco (DDDs 81 e 87), Alagoas (82), Paraíba (83), Rio Grande do Norte (84), Ceará (85 e 88) e Piauí (86 e 89) terão que incluir o nono dígito a partir deste domingo (31). A medida, que já vale para outros estados, consiste em digitar 9 antes dos outros oito nú...   \n",
       "79   Após apagão iniciado por volta das 15h, a energia elétrica foi normalizada em Salvador por volta das 19h30 desta quarta-feira (28), de acordo com a Companhia Elétrica do Estado da Bahia (Coelba). A concessionária informou que a interrupção do abastecimento no Nordeste do país atingiu todos os 4...   \n",
       "80   As novas cidades atendidas com o 4G da operadora são: Barra do Piraí (RJ), Macaé (RJ), Teresópolis (RJ), Volta Redonda (RJ), Bento Gonçalves (RS), Canoas (RS), Lajeado (RS), Farroupilha (RS), Santos (SP), Guarujá (SP), Cotia (SP), Florianópolis (SC), Joinville (SC), Maringá (PR), Cascavel (PR),...   \n",
       "81   Saguão do aeroporto fica sem luz na tarde desta quarta em Salvador (Foto: Riad Awad / Arquivo Pessoal) Grande parte da Bahia ficou sem luz na tarde desta quarta-feira (28), segundo informações da Companhia Elétrica do Estado da Bahia (Coelba). A queda de energia aconteceu por volta das 15h. Ain...   \n",
       "82   Foi derrubado mais um obstáculo para que a Telebrás possa entrar no segmento de banda larga. A Agência Nacional de Telecomunicações (Anatel) aprovou hoje o pedido da estatal para a obtenção de licença do Serviço de Comunicação Multimídia (SCM), necessário para operar banda larga. \"Foi aprovado ...   \n",
       "83   Os objetivos das propostas em consulta pública são os de restringir o emprego ou modificar a destinação de determinadas radiofrequências ou faixas; promover a massificação do acesso à internet em alta velocidade (banda larga), principalmente a banda larga sem fio; incrementar o uso de tecnologi...   \n",
       "84   A Agência Nacional de Energia Elétrica (Aneel) aprovou hoje (16) as regras para compartilhamento de postes entre distribuidoras de energia elétrica e prestadoras de serviços de telecomunicações. A regulamentação, aprovada na semana passada pela Agência Nacional de Telecomunicações (Anatel), pre...   \n",
       "85   Anatel reduz multa aplicada à Telemar Norte Leste O conselho diretor da Agência Nacional de Telecomunicações (Anatel) reduziu multa aplicada à Telemar Norte Leste S/A, filial Minas Gerais, em processo de 2008. Segundo despacho publicado no Diário Oficial da União, a multa aplicada em processo d...   \n",
       "86   O relator da proposta, conselheiro Marcelo Bechara, ressaltou que diversos serviços passarão a ser feitos por uma única pessoa jurídica, de forma que uma série de receitas e despesas das operações entre as empresas do mesmo grupo, sobre as quais havia incidência de impostos, deixarão de existir...   \n",
       "87   Cinco operadoras por região é um número alto O presidente da Telesp Celular, Abílio Ançã Henriques, considerou alto o número de cinco operadoras de telefonia celular por região, como está previsto no modelo da Agência Nacional de Telecomunicações (Anatel). Henriques esteve hoje com o ministro d...   \n",
       "88                                                                                                                                                                                                            Centro espírita é depredado em Teresópolis e mãe de santo acredita em intolerância: Foi criminoso   \n",
       "89   Publicidade Militantes do MTST (Movimento dos Trabalhadores Sem-Teto) invadiram no começo da tarde desta quarta-feira (16) o saguão de entrada da sede da construtora Even, no Jardim Europa, na zona oeste de São Paulo. Os manifestantes são contrários ao despejo da ocupação Portal do Povo, na reg...   \n",
       "90   Publicidade Duas coordenadoras do MTST (Movimento dos Trabalhadores Sem-Teto) foram recebidas por representantes da construtora Even no fim da tarde desta quarta-feira (16) após um grupo de sem-teto invadir uma área do prédio em que funciona a empresa, no Jardim Europa, na zona oeste de São Pau...   \n",
       "\n",
       "         Id  \n",
       "1   3887418  \n",
       "2   3148656  \n",
       "3   4424120  \n",
       "4   3141617  \n",
       "5      4187  \n",
       "6   4304926  \n",
       "7   3752035  \n",
       "8     95140  \n",
       "9   4805763  \n",
       "10  3029755  \n",
       "11  2090767  \n",
       "12  2192532  \n",
       "13  1146255  \n",
       "14  1145149  \n",
       "15  1551824  \n",
       "16  3280529  \n",
       "17  3926212  \n",
       "18  2096506  \n",
       "19  2114808  \n",
       "20  1666630  \n",
       "21  2356139  \n",
       "22  5394768  \n",
       "23  5245144  \n",
       "24  5289671  \n",
       "25  1466805  \n",
       "26  4355108  \n",
       "27  1466838  \n",
       "28  1721523  \n",
       "29  1734646  \n",
       "30  1810202  \n",
       "31  1721501  \n",
       "32  1721477  \n",
       "33  2913055  \n",
       "34  2369556  \n",
       "35  2563956  \n",
       "36  4802725  \n",
       "37  1407688  \n",
       "38  1740579  \n",
       "39   858484  \n",
       "40  3032609  \n",
       "41  3131309  \n",
       "42  3123944  \n",
       "43  5050770  \n",
       "44  1749259  \n",
       "45  5262058  \n",
       "46  1846922  \n",
       "47  1726575  \n",
       "48  3905210  \n",
       "49  1945413  \n",
       "50  1438120  \n",
       "51  1945594  \n",
       "52  5197823  \n",
       "53  4816241  \n",
       "54  3243169  \n",
       "55  1732782  \n",
       "56  2413839  \n",
       "57  1359353  \n",
       "58   758437  \n",
       "59   738370  \n",
       "60   770791  \n",
       "61  2958532  \n",
       "62  1591762  \n",
       "63  1716278  \n",
       "64  1723005  \n",
       "65   998855  \n",
       "66  1757786  \n",
       "67  1194176  \n",
       "68  2747831  \n",
       "69  5014444  \n",
       "70  3045833  \n",
       "71  2066139  \n",
       "72  1476158  \n",
       "73  1552887  \n",
       "74  1678093  \n",
       "75  1765660  \n",
       "76  5179229  \n",
       "77   332653  \n",
       "78   450862  \n",
       "79  1080542  \n",
       "80  1533012  \n",
       "81  1081039  \n",
       "82  2066210  \n",
       "83  2417172  \n",
       "84  3276748  \n",
       "85  1527074  \n",
       "86  1569225  \n",
       "87  3136720  \n",
       "88  4165127  \n",
       "89  4299112  \n",
       "90  4299096  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def format_topics_sentences(idsnews, ldamodel=lda_model, corpus=corpus, texts=data):\n",
    "    sent_topics_df = pd.DataFrame()\n",
    "\n",
    "    for i, row in enumerate(ldamodel[corpus]):\n",
    "        row = sorted(row, key=lambda x: (x[1]), reverse=True)\n",
    "        for j, (topic_num, prop_topic) in enumerate(row):\n",
    "            if j == 0:  # => dominant topic\n",
    "                wp = ldamodel.show_topic(topic_num)\n",
    "                topic_keywords = \", \".join([word for word, prop in wp])\n",
    "                sent_topics_df = sent_topics_df.append(pd.Series([int(topic_num), round(prop_topic,4), topic_keywords]), ignore_index=True)\n",
    "            else:\n",
    "                break\n",
    "    sent_topics_df.columns = ['Dominant_Topic', 'Perc_Contribution', 'Topic_Keywords']\n",
    "\n",
    "    contents = pd.Series(texts)\n",
    "    ids = pd.Series(idsnews)\n",
    "    sent_topics_df = pd.concat([sent_topics_df, contents], axis=1)\n",
    "    sent_topics_df = pd.concat([sent_topics_df, ids], axis=1)\n",
    "    return(sent_topics_df)\n",
    "\n",
    "#idsnews = df['id']\n",
    "idsnews = df.index.values\n",
    "df_topic_sents_keywords = format_topics_sentences(idsnews, ldamodel=lda_model, corpus=corpus, texts=data)\n",
    "\n",
    "\n",
    "df_dominant_topic = df_topic_sents_keywords.reset_index()\n",
    "df_dominant_topic.columns = ['Document_No', 'Dominant_Topic', 'Topic_Perc_Contrib', 'Keywords', 'Text', 'Id']\n",
    "\n",
    "#df_dominant_topic.head(20)\n",
    "\n",
    "sent_topics_sorteddf_mallet = pd.DataFrame()\n",
    "\n",
    "sent_topics_outdf_grpd = df_topic_sents_keywords.groupby('Dominant_Topic')\n",
    "\n",
    "for i, grp in sent_topics_outdf_grpd:\n",
    "    sent_topics_sorteddf_mallet = pd.concat([sent_topics_sorteddf_mallet, \n",
    "                                             grp.sort_values(['Perc_Contribution'], ascending=[0]).head(3)], \n",
    "                                            axis=0)\n",
    "\n",
    "sent_topics_sorteddf_mallet.reset_index(drop=True, inplace=True)\n",
    "\n",
    "sent_topics_sorteddf_mallet.columns = ['Topic_Num', \"Topic_Perc_Contrib\", \"Keywords\", \"Text\", \"Id\"]\n",
    "\n",
    "# Show\n",
    "pd.options.display.max_colwidth = 300\n",
    "pd.options.display.max_rows = 810\n",
    "sent_topics_sorteddf_mallet.index = np.arange(1, len(sent_topics_sorteddf_mallet) + 1)\n",
    "sent_topics_sorteddf_mallet['Topic_Num'] = sent_topics_sorteddf_mallet['Topic_Num'].apply(lambda x: x+1)\n",
    "sent_topics_sorteddf_mallet[['Topic_Num', 'Topic_Perc_Contrib', 'Text', 'Id']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Inferindo o tópico de cada notícia"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>news_id</th>\n",
       "      <th>topic_num</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3141720</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3141716</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3141713</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3141706</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3141708</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   news_id  topic_num\n",
       "0  3141720         14\n",
       "1  3141716         29\n",
       "2  3141713         29\n",
       "3  3141706         28\n",
       "4  3141708         14"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#news_ids = df['id'].tolist()\n",
    "news_ids = df.index.values\n",
    "news_topics = []\n",
    "for i, row in enumerate(lda_model[corpus]):\n",
    "        row = sorted(row, key=lambda x: (x[1]), reverse=True)\n",
    "        (topic_num, prop_topic) = row[0]\n",
    "        news_topics.append(topic_num+1)\n",
    "\n",
    "d = {'news_id': news_ids, 'topic_num': news_topics}\n",
    "my_df_topics = pd.DataFrame(data=d)\n",
    "option = 'option' + '1'\n",
    "#my_df_topics.to_csv('/Users/fabiola/Desktop/FGV/toy/anatel/anatel_topics_' + option + '.csv', index=False)\n",
    "my_df_topics.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Análise Longitudinal"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Indexação dos anos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "index_2000_init = 0\n",
      "index_2001_init = 501\n",
      "index_2002_init = 998\n",
      "index_2003_init = 1676\n",
      "index_2004_init = 2083\n",
      "index_2005_init = 2301\n",
      "index_2006_init = 2418\n",
      "index_2007_init = 2786\n",
      "index_2008_init = 3006\n",
      "index_2009_init = 3292\n",
      "index_2010_init = 3691\n",
      "index_2011_init = 4368\n",
      "index_2012_init = 4972\n",
      "index_2013_init = 5955\n",
      "index_2014_init = 7089\n",
      "index_2015_init = 8266\n",
      "index_2016_init = 8873\n",
      "index_2017_init = 9796\n",
      "index_2018_init = 10669\n",
      "index_2018_end = 11092\n"
     ]
    }
   ],
   "source": [
    "import datetime\n",
    "year_init = 2000\n",
    "i = 0\n",
    "indexint = 'index_' + str(year_init) + '_init = ' + str(i)\n",
    "print(indexint)\n",
    "for index, row in df.iterrows():\n",
    "    d1 = row['publication_date']\n",
    "    d1 = d1[:19]    \n",
    "    datetime_object1 = datetime.datetime.strptime(d1, '%Y-%m-%dT%H:%M:%S')\n",
    "    current_year = datetime_object1.year\n",
    "    if not (current_year == year_init):\n",
    "        indexint = 'index_' + str(current_year) + '_init = ' + str(i)\n",
    "        print(indexint)\n",
    "        year_init = current_year\n",
    "    i = i+1\n",
    "indexint = 'index_' + str(current_year) + '_end = ' + str(i)\n",
    "print(indexint)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "index_2000_init = 0\n",
    "index_2001_init = 501\n",
    "index_2002_init = 998\n",
    "index_2003_init = 1676\n",
    "index_2004_init = 2083\n",
    "index_2005_init = 2301\n",
    "index_2006_init = 2418\n",
    "index_2007_init = 2786\n",
    "index_2008_init = 3006\n",
    "index_2009_init = 3292\n",
    "index_2010_init = 3691\n",
    "index_2011_init = 4368\n",
    "index_2012_init = 4972\n",
    "index_2013_init = 5955\n",
    "index_2014_init = 7089\n",
    "index_2015_init = 8266\n",
    "index_2016_init = 8873\n",
    "index_2017_init = 9796\n",
    "index_2018_init = 10669\n",
    "index_2018_end = 11092\n",
    "\n",
    "indexes = [index_2000_init,index_2001_init,index_2002_init,index_2003_init,index_2004_init,\n",
    "           index_2005_init,index_2006_init,index_2007_init,index_2008_init,index_2009_init,index_2010_init,\n",
    "           index_2011_init,index_2012_init,index_2013_init,index_2014_init,index_2015_init,index_2016_init,\n",
    "           index_2017_init,index_2018_init,index_2018_end\n",
    "          ]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Representatividade (theta) por ano em todos os topicos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a4ecc4a90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a4ecc4cc0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a4ecd4828>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a5032eb70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a504936d8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a5060d550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a50dc89e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a50e90710>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a510b6358>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a512277f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a51559ac8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a51ca9198>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a206e1b70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a524938d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a52493c18>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a52500358>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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An4uIdTLzY8BNlL0fjalZbwPOyMxPR8SjKUf3HkvZA/KaiNilgZyjgU9EGZ53J+VI2GcpRyz/Fvh4RGzSRKe5tumtlOX1koh4PPBR4GTgLyidiNWT5tSsYygbAgcB+9U39VpgFbCmZj27gZyjKUe8/igzr62FcGpvKU0Wx5r1UeAxwJsi4gDgzyh7GE+jnDfwpAazLgf2AY4HyMyvAF+hHOl7Un1cY3WmbtivoOzlO2lqemaeQRnWdFY0dF5E/SD5FPClzPwM5ajAacBJdUO8kZPhM/NXlKO9n4+IqDuEPk09T6HmNLJDKjN/Cbyt7tjYjLIj6t2UdeZB4P11I29iQ/O8Bjg8M59O2WD8ErBDEzlZhkb9NXADZSfbFynr4IeBfwP+sm4kTyweGuL9FUqdPRV4f2aeUufhY1HPYZk0KzPvp+zEu6bm/piysbNrnZdG3le19txH2SF0HqUmngv8F0qdvzrqMK2Gsu4HToiIl9V2HUfZSfRx4EUDj2vCVK147tSEpmvFQJ34Yst1Iuv7dy2lVqzTVq2oWb+g1IpPR8TmtFsrpl7vXWmvTmSttRdRtl1eT4u1YsCXKUeoTqXhWlHb9HMeqhPr01KdGPAzSq04nxZrRfUA8PsRcXrLteJB4MCIODUzf10/U95E+Uw5rcF6tHAW4nBilz+Uw9tfB544NH1HSg/+vHp7P2DnBrJuA35nmvuu4qFhA3sz4eHhgXYdODBtP+CV9e/HUcZUTzQMsubcOtUmYBPgwvr3syh7+z4DbNzQa3U7sG+9fSHwC0ohA9iXMiTxiIaybgUOqLcvphytPKPe3hR4NeXoWJPLb72B+64D3jhpW6ZZ/6badAHlCOm59fZOlA7zKQ1mPZGyMXVhXd/W1t8HUD5QGxmqOvzerM9/N3DqwLS9gLVNZw3dd3Rd348GXgG8kzGHksyRcxjwufr3ycB/Y4KhU4NZg/ML7Dnw92Pq6zjRsOyhrKmhPfsDLwa2A74FfBV4Z8PrxDaUow6nD0xbU9s00XCfabJ2pxwduJZa1+v0S2Z7XcddfgO3nwJ8l6HPs4batDNlo/S8wXWt1satG846mLKR/T7KhtsK4NnAnzTQroOAlwBPqbf3a6NWDOYwNGyzyToxTdb6Q/c1XSsGszYamN5orRjIeTKwaZ12QNN1YihrahtsK+CNLdWKf29Xvb1LrRWfa7JWDL1Omwzd11idmGH57dhirRjOOrCNWlHXu9cCR9XbB1OGeJ9UbwdwAvDnTSzDhf5Z8BlotXHwTMremsuA3QemT51/tiNlj86NwC3Adg1l7TowfWX9fSWlA/Zs4Bpgq4aydpvlce+gDCVtNIcyJvx8yjmJL6tF868Y2jCZIGvwQ+UZQ487D/iDBteLPeu07SgXaLl9qnhRDuW/s77p5/3hOcvym9oAProux81aXNefT+2c19vnAG+pf4+1QTCU9Zg6bQfgVZQ92lPtey/w2Aba9lvn2tbpB1OGdP6H+vqdShl6sdkEbZvxvN6B9WJf4F8pR7kf13RO/Xsvyofb71Lq0x5NLr/p3quUPaVXT7I+zvJa7VyX1z08dP7Kxxmz5s6SszGwwVCbPkndmGw4a8+6vp1J6cy+gLJj55ENv1brDD3mdZSN0kbbRKlzG1KO3Ly4TjuZcmRi7J2Tsyy/LWre1OfxKyhHjtab4P07eK78DdQOHmXDrrFawczn5K/bZJ2YK6v+brJWTJs1zeMmqhWztGmXJuvEDOvEi+r0zWi+Vsy0/u1Dg7ViluU3uCNv4joxx/LbhOZrxXDW1HOvosFawcOvc3E78Ow6/RjKTobT6u3T6vq38Tg5i+lnwWegtYaVEy1vryvgayjnSz154P6pgvx6SkHep6Gs1w5n1cf8GWXI27VMVvhHbdcplIuAPKbBnEPrfSdQPlSOrbd3ZIK9OTNkHTZNm06mDH8cq00zZJ1DvZgI5byLD1KOwr6esgNgrA/OuV6n+phH18dMdHL9NOvfOTy0V2xz4F2UjtfLga8xyw6CMbLeChwyzWv1EsqR50dN2LaDgA8Br6R0xtcO3f8Eynke76N80EzyPp4xi4d3xJ4G/ATYq60c4JGUc3GuHzdnHlkrKRvBX2ZgR0sLr9VJlCFaU7fHPSI6W5sGN3ZeStkj3Gab9gD+mHLE/Cpg77Zeq4H31jGUjbixRlOM0KaDgR9R9tLf3OL6t2KgbS+iDP2eJOtplKNph9bbx1E2HB9VbzdSK2bI+QZDG+6T1olRsxqsFaNkTVwrZsmZumhOI3VijnVim6HHNVEr5lr/GqkVc71ONFQn5sjapt5uslbMtPy2HXjMxLWC0tG7Hnhavf0ayo79XevtfSmjrt5H2dYZu6Yvpp8Fn4HWGlaGlx1S/96dcjTqLQxcJZCyZ/YaJuh8zZB11jRZF1L2bu7acNbD2gVsQDl6eNuEb7zp2nQ2Za/UCuqVOLt4rSh7nI+pb7yxi/EsWWcPvVYnUc5B273hnIetE/W+Y5lgT+yIy29/yrmd75xknZgj6ykDjzmUsqNh0qyjKOdunkTZs/Zo6gnuQ49bWdfJSY6Wj5oVwDMYs8M8j5ytKHuCxz4yOo+sR1B2BkyyoTNnFg/viI3b0Ru1TZtSRgG02qbBtgCbt5018Pix9p7Po03b1/f32Dtr5pG1AWXo3iQ7oY4C7qCMNFl34DX5KLBm4HEbUo4GjFUr5sjZZXCdmKROzDNrFeXcs0lrxShZW0xSK0bNGVyOHbRps4ZqxShZUzvYxqoVYyy/SY6yjdqmHSgd2UlrxShZKyepFTXnVurpTZSa9FNKZ/VKykGZjSjft7clQzsFlvLPgs9A6w18aKXZlYc6YQcP3L9ly1lT47bXMOG5HCNkTZ0Xth2wQ0s5b+Xh5wk2dmh7tteqFuRG2jRD1tkMdFhabtMhTefMkHUOA2P2mWCY7XzbxQRD2er/j3qu7ROY5kOupazHA9t3kLM/ZeN4/Q6ynkDp7E1y7k0n50XPs01bdNSmx3e4/u3HQMel5fVvp47a9HgG9txPkDXKufKPm6QuzSNnHybo+M8za+r89klrxajLbwVjfkXBCDmH1r+buqbBqG1ar4FaMep6MXbnYR45e0+SM9/1jwm3oee5/MYeTslo17m4EjhykvYs1p/eX40z66VZM/OfKL33B4DnR8QhdfqPWs56bkQ8MTPvyMxvtZx1ckQcmJnfy8y7Wsq5DzglyldZkPVd0lLWA8ALIuKgzPxpU22aIet+yuWyG72E9Qxtet7U8ms56+fAH0TEwXX6r1rMmmrXk+r074/73BHxTOD9lKODPx2Yvk5m3kkZR79dRNzIQ+3sIusSymWf2865mLKx+MsOsj5AuQjDWFckHmP5PdBRmzbsqE0foNv1774Oci4Gxlr3xsi6hAmuCj6QdTPww4HpU1978CvgJ/Wqyucx5pdozzPnfEoHYizzzFobEasaqBWjLr9H5MAXgzec8+OB5Tf2dsUYbdq8gVoxata8l90YOeePmzNG1lom+OqtMdq14TjbnEM16SdT0zPzK5l5fv37Jsqw0e3Ha80it9C9za5/KIeb38CEVwyaZ9ZERzkWU1Yf29TlerFA69+SyWLhzrVtLauPbXL5LZ2sPrZpmqzWzpXvKqevWX1sk8tv6WTR0XUuFvvPVCOXlYhYLxs8yrHcsvrYpi6z+timprIi4omU4abXRcTulAK8ArgyMz9fH7Mn5aIzr86yN25RZ/WxTV1m9bFNXWb1sU0zZJ1MOaI2mHVhnb5vllEIizanr1l9bFOXWX1sU5dZc9WkKN8VeQzlVJQTMvOWcdu0mC3Lzp6kxa0O+fpNROwKvJDyIXBFZn6h3r9lNjQEu6usPrapy6w+tqnLrD62aZasv83Mz0XEGuDX2cApFF3l9DWrj23qMquPbeoya4acyzPzHyNiO8p5m42dKrTY2NmTtKjV4vwCyhUqL83M65Z6Vh/b1GVWH9vUZVYf2zSUtQp4f2Zev5Rz+prVxzZ1mdXHNnWZNZRzcWZ+qY2cxaT3F2iRtLTV4RsfBL4HjD1sZDFl9bFNXWb1sU1dZvWxTUNZ3wW+s9Rz+prVxzZ1mdXHNnWZNZTz7bZyFhOP7ElaEmKJnX+4mHL6mtXHNnWZ1cc2dZnVxzZ1mdXHNnWZ1cc2dZnVZZsWmp09SZIkSeohh3FKkiRJUg/Z2ZMkSZKkHrKzJ0mSJEk9ZGdPkiRJknrIzp4kSZIk9ZCdPUmSJEnqITt7kiRJktRDdvYkSZIkqYfs7EmSJElSD/1/jZDLyWwv1ocAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a51d3d470>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a5031e470>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a5129d518>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Ano</th>\n",
       "      <th>T1</th>\n",
       "      <th>T2</th>\n",
       "      <th>T3</th>\n",
       "      <th>T4</th>\n",
       "      <th>T5</th>\n",
       "      <th>T6</th>\n",
       "      <th>T7</th>\n",
       "      <th>T8</th>\n",
       "      <th>T9</th>\n",
       "      <th>...</th>\n",
       "      <th>T22</th>\n",
       "      <th>T23</th>\n",
       "      <th>T24</th>\n",
       "      <th>T25</th>\n",
       "      <th>T26</th>\n",
       "      <th>T27</th>\n",
       "      <th>T28</th>\n",
       "      <th>T29</th>\n",
       "      <th>T30</th>\n",
       "      <th>Total</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2000.0</td>\n",
       "      <td>0.005188</td>\n",
       "      <td>0.056448</td>\n",
       "      <td>0.007666</td>\n",
       "      <td>0.042365</td>\n",
       "      <td>0.012134</td>\n",
       "      <td>0.047743</td>\n",
       "      <td>0.014708</td>\n",
       "      <td>0.002734</td>\n",
       "      <td>0.007712</td>\n",
       "      <td>...</td>\n",
       "      <td>0.049018</td>\n",
       "      <td>0.005893</td>\n",
       "      <td>0.022601</td>\n",
       "      <td>0.012788</td>\n",
       "      <td>0.024421</td>\n",
       "      <td>0.004100</td>\n",
       "      <td>0.061434</td>\n",
       "      <td>0.328089</td>\n",
       "      <td>0.005659</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2001.0</td>\n",
       "      <td>0.012725</td>\n",
       "      <td>0.067559</td>\n",
       "      <td>0.007152</td>\n",
       "      <td>0.052741</td>\n",
       "      <td>0.016085</td>\n",
       "      <td>0.026580</td>\n",
       "      <td>0.022984</td>\n",
       "      <td>0.002369</td>\n",
       "      <td>0.004853</td>\n",
       "      <td>...</td>\n",
       "      <td>0.062190</td>\n",
       "      <td>0.012406</td>\n",
       "      <td>0.010751</td>\n",
       "      <td>0.012602</td>\n",
       "      <td>0.025439</td>\n",
       "      <td>0.000838</td>\n",
       "      <td>0.069853</td>\n",
       "      <td>0.323447</td>\n",
       "      <td>0.009412</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2002.0</td>\n",
       "      <td>0.006010</td>\n",
       "      <td>0.092735</td>\n",
       "      <td>0.012969</td>\n",
       "      <td>0.069685</td>\n",
       "      <td>0.028372</td>\n",
       "      <td>0.040740</td>\n",
       "      <td>0.026730</td>\n",
       "      <td>0.002205</td>\n",
       "      <td>0.009706</td>\n",
       "      <td>...</td>\n",
       "      <td>0.041824</td>\n",
       "      <td>0.007297</td>\n",
       "      <td>0.014500</td>\n",
       "      <td>0.013981</td>\n",
       "      <td>0.006600</td>\n",
       "      <td>0.001013</td>\n",
       "      <td>0.032037</td>\n",
       "      <td>0.330674</td>\n",
       "      <td>0.006249</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2003.0</td>\n",
       "      <td>0.006012</td>\n",
       "      <td>0.147100</td>\n",
       "      <td>0.008083</td>\n",
       "      <td>0.066831</td>\n",
       "      <td>0.035696</td>\n",
       "      <td>0.022011</td>\n",
       "      <td>0.026245</td>\n",
       "      <td>0.001295</td>\n",
       "      <td>0.004028</td>\n",
       "      <td>...</td>\n",
       "      <td>0.032847</td>\n",
       "      <td>0.003056</td>\n",
       "      <td>0.031250</td>\n",
       "      <td>0.018165</td>\n",
       "      <td>0.006961</td>\n",
       "      <td>0.001909</td>\n",
       "      <td>0.044382</td>\n",
       "      <td>0.274050</td>\n",
       "      <td>0.007124</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2004.0</td>\n",
       "      <td>0.010521</td>\n",
       "      <td>0.198802</td>\n",
       "      <td>0.005156</td>\n",
       "      <td>0.097763</td>\n",
       "      <td>0.037276</td>\n",
       "      <td>0.029581</td>\n",
       "      <td>0.033683</td>\n",
       "      <td>0.000883</td>\n",
       "      <td>0.004975</td>\n",
       "      <td>...</td>\n",
       "      <td>0.011138</td>\n",
       "      <td>0.014149</td>\n",
       "      <td>0.020713</td>\n",
       "      <td>0.019660</td>\n",
       "      <td>0.007375</td>\n",
       "      <td>0.003889</td>\n",
       "      <td>0.033242</td>\n",
       "      <td>0.178958</td>\n",
       "      <td>0.009999</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2005.0</td>\n",
       "      <td>0.013532</td>\n",
       "      <td>0.143243</td>\n",
       "      <td>0.008998</td>\n",
       "      <td>0.084017</td>\n",
       "      <td>0.035663</td>\n",
       "      <td>0.022202</td>\n",
       "      <td>0.005548</td>\n",
       "      <td>0.003661</td>\n",
       "      <td>0.007219</td>\n",
       "      <td>...</td>\n",
       "      <td>0.004469</td>\n",
       "      <td>0.008738</td>\n",
       "      <td>0.008005</td>\n",
       "      <td>0.052906</td>\n",
       "      <td>0.018355</td>\n",
       "      <td>0.006500</td>\n",
       "      <td>0.005030</td>\n",
       "      <td>0.174393</td>\n",
       "      <td>0.003934</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2006.0</td>\n",
       "      <td>0.015636</td>\n",
       "      <td>0.113478</td>\n",
       "      <td>0.010377</td>\n",
       "      <td>0.038523</td>\n",
       "      <td>0.040100</td>\n",
       "      <td>0.047599</td>\n",
       "      <td>0.024819</td>\n",
       "      <td>0.005237</td>\n",
       "      <td>0.013426</td>\n",
       "      <td>...</td>\n",
       "      <td>0.038322</td>\n",
       "      <td>0.035899</td>\n",
       "      <td>0.013175</td>\n",
       "      <td>0.044135</td>\n",
       "      <td>0.008707</td>\n",
       "      <td>0.001963</td>\n",
       "      <td>0.046482</td>\n",
       "      <td>0.204178</td>\n",
       "      <td>0.005235</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2007.0</td>\n",
       "      <td>0.016681</td>\n",
       "      <td>0.079700</td>\n",
       "      <td>0.015676</td>\n",
       "      <td>0.037635</td>\n",
       "      <td>0.030679</td>\n",
       "      <td>0.024141</td>\n",
       "      <td>0.031252</td>\n",
       "      <td>0.011613</td>\n",
       "      <td>0.015273</td>\n",
       "      <td>...</td>\n",
       "      <td>0.048658</td>\n",
       "      <td>0.023788</td>\n",
       "      <td>0.015050</td>\n",
       "      <td>0.068677</td>\n",
       "      <td>0.021392</td>\n",
       "      <td>0.011663</td>\n",
       "      <td>0.026221</td>\n",
       "      <td>0.155166</td>\n",
       "      <td>0.015537</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2008.0</td>\n",
       "      <td>0.028392</td>\n",
       "      <td>0.072790</td>\n",
       "      <td>0.057107</td>\n",
       "      <td>0.042750</td>\n",
       "      <td>0.031701</td>\n",
       "      <td>0.034864</td>\n",
       "      <td>0.038987</td>\n",
       "      <td>0.022867</td>\n",
       "      <td>0.024976</td>\n",
       "      <td>...</td>\n",
       "      <td>0.033159</td>\n",
       "      <td>0.024593</td>\n",
       "      <td>0.048476</td>\n",
       "      <td>0.026925</td>\n",
       "      <td>0.021738</td>\n",
       "      <td>0.022914</td>\n",
       "      <td>0.026822</td>\n",
       "      <td>0.081818</td>\n",
       "      <td>0.024609</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2009.0</td>\n",
       "      <td>0.030827</td>\n",
       "      <td>0.086566</td>\n",
       "      <td>0.020509</td>\n",
       "      <td>0.031986</td>\n",
       "      <td>0.017102</td>\n",
       "      <td>0.033005</td>\n",
       "      <td>0.042875</td>\n",
       "      <td>0.004367</td>\n",
       "      <td>0.009810</td>\n",
       "      <td>...</td>\n",
       "      <td>0.027743</td>\n",
       "      <td>0.021462</td>\n",
       "      <td>0.035414</td>\n",
       "      <td>0.060173</td>\n",
       "      <td>0.011242</td>\n",
       "      <td>0.004568</td>\n",
       "      <td>0.031145</td>\n",
       "      <td>0.134909</td>\n",
       "      <td>0.015345</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2010.0</td>\n",
       "      <td>0.015435</td>\n",
       "      <td>0.129931</td>\n",
       "      <td>0.031138</td>\n",
       "      <td>0.033905</td>\n",
       "      <td>0.023736</td>\n",
       "      <td>0.066093</td>\n",
       "      <td>0.050550</td>\n",
       "      <td>0.000938</td>\n",
       "      <td>0.009570</td>\n",
       "      <td>...</td>\n",
       "      <td>0.045570</td>\n",
       "      <td>0.010316</td>\n",
       "      <td>0.022320</td>\n",
       "      <td>0.063102</td>\n",
       "      <td>0.016306</td>\n",
       "      <td>0.002952</td>\n",
       "      <td>0.023250</td>\n",
       "      <td>0.145011</td>\n",
       "      <td>0.007322</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2011.0</td>\n",
       "      <td>0.010505</td>\n",
       "      <td>0.130385</td>\n",
       "      <td>0.005346</td>\n",
       "      <td>0.020231</td>\n",
       "      <td>0.034440</td>\n",
       "      <td>0.061822</td>\n",
       "      <td>0.046585</td>\n",
       "      <td>0.002708</td>\n",
       "      <td>0.012738</td>\n",
       "      <td>...</td>\n",
       "      <td>0.057294</td>\n",
       "      <td>0.011068</td>\n",
       "      <td>0.019048</td>\n",
       "      <td>0.074113</td>\n",
       "      <td>0.028921</td>\n",
       "      <td>0.002967</td>\n",
       "      <td>0.034737</td>\n",
       "      <td>0.142532</td>\n",
       "      <td>0.005863</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2012.0</td>\n",
       "      <td>0.021402</td>\n",
       "      <td>0.071878</td>\n",
       "      <td>0.014593</td>\n",
       "      <td>0.014650</td>\n",
       "      <td>0.022606</td>\n",
       "      <td>0.033887</td>\n",
       "      <td>0.038221</td>\n",
       "      <td>0.002350</td>\n",
       "      <td>0.011724</td>\n",
       "      <td>...</td>\n",
       "      <td>0.074607</td>\n",
       "      <td>0.009206</td>\n",
       "      <td>0.006555</td>\n",
       "      <td>0.061748</td>\n",
       "      <td>0.027778</td>\n",
       "      <td>0.005292</td>\n",
       "      <td>0.024007</td>\n",
       "      <td>0.075201</td>\n",
       "      <td>0.010692</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2013.0</td>\n",
       "      <td>0.028162</td>\n",
       "      <td>0.055922</td>\n",
       "      <td>0.011238</td>\n",
       "      <td>0.026637</td>\n",
       "      <td>0.076115</td>\n",
       "      <td>0.045006</td>\n",
       "      <td>0.039423</td>\n",
       "      <td>0.004970</td>\n",
       "      <td>0.019642</td>\n",
       "      <td>...</td>\n",
       "      <td>0.044101</td>\n",
       "      <td>0.011244</td>\n",
       "      <td>0.013667</td>\n",
       "      <td>0.070511</td>\n",
       "      <td>0.036084</td>\n",
       "      <td>0.011342</td>\n",
       "      <td>0.025429</td>\n",
       "      <td>0.085945</td>\n",
       "      <td>0.013282</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2014.0</td>\n",
       "      <td>0.038492</td>\n",
       "      <td>0.050831</td>\n",
       "      <td>0.023320</td>\n",
       "      <td>0.014648</td>\n",
       "      <td>0.017514</td>\n",
       "      <td>0.039278</td>\n",
       "      <td>0.046477</td>\n",
       "      <td>0.005528</td>\n",
       "      <td>0.020367</td>\n",
       "      <td>...</td>\n",
       "      <td>0.122285</td>\n",
       "      <td>0.025348</td>\n",
       "      <td>0.011797</td>\n",
       "      <td>0.063444</td>\n",
       "      <td>0.032026</td>\n",
       "      <td>0.006338</td>\n",
       "      <td>0.019003</td>\n",
       "      <td>0.057089</td>\n",
       "      <td>0.028232</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2015.0</td>\n",
       "      <td>0.054073</td>\n",
       "      <td>0.070843</td>\n",
       "      <td>0.028316</td>\n",
       "      <td>0.013288</td>\n",
       "      <td>0.020239</td>\n",
       "      <td>0.030525</td>\n",
       "      <td>0.060609</td>\n",
       "      <td>0.015843</td>\n",
       "      <td>0.022074</td>\n",
       "      <td>...</td>\n",
       "      <td>0.027343</td>\n",
       "      <td>0.043839</td>\n",
       "      <td>0.009631</td>\n",
       "      <td>0.058767</td>\n",
       "      <td>0.063316</td>\n",
       "      <td>0.004648</td>\n",
       "      <td>0.014263</td>\n",
       "      <td>0.056347</td>\n",
       "      <td>0.023782</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016.0</td>\n",
       "      <td>0.045290</td>\n",
       "      <td>0.115868</td>\n",
       "      <td>0.152284</td>\n",
       "      <td>0.013210</td>\n",
       "      <td>0.018316</td>\n",
       "      <td>0.009691</td>\n",
       "      <td>0.056894</td>\n",
       "      <td>0.029040</td>\n",
       "      <td>0.023738</td>\n",
       "      <td>...</td>\n",
       "      <td>0.004882</td>\n",
       "      <td>0.024230</td>\n",
       "      <td>0.008061</td>\n",
       "      <td>0.028261</td>\n",
       "      <td>0.025372</td>\n",
       "      <td>0.009762</td>\n",
       "      <td>0.015250</td>\n",
       "      <td>0.036778</td>\n",
       "      <td>0.020170</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2017.0</td>\n",
       "      <td>0.018240</td>\n",
       "      <td>0.082074</td>\n",
       "      <td>0.125282</td>\n",
       "      <td>0.007724</td>\n",
       "      <td>0.012269</td>\n",
       "      <td>0.018630</td>\n",
       "      <td>0.062789</td>\n",
       "      <td>0.061350</td>\n",
       "      <td>0.016602</td>\n",
       "      <td>...</td>\n",
       "      <td>0.007713</td>\n",
       "      <td>0.019095</td>\n",
       "      <td>0.004746</td>\n",
       "      <td>0.046531</td>\n",
       "      <td>0.016673</td>\n",
       "      <td>0.005659</td>\n",
       "      <td>0.006549</td>\n",
       "      <td>0.035434</td>\n",
       "      <td>0.016628</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2018.0</td>\n",
       "      <td>0.018477</td>\n",
       "      <td>0.062322</td>\n",
       "      <td>0.053846</td>\n",
       "      <td>0.017219</td>\n",
       "      <td>0.009717</td>\n",
       "      <td>0.017379</td>\n",
       "      <td>0.041525</td>\n",
       "      <td>0.132019</td>\n",
       "      <td>0.031751</td>\n",
       "      <td>...</td>\n",
       "      <td>0.013732</td>\n",
       "      <td>0.036576</td>\n",
       "      <td>0.004163</td>\n",
       "      <td>0.078488</td>\n",
       "      <td>0.024469</td>\n",
       "      <td>0.016660</td>\n",
       "      <td>0.010138</td>\n",
       "      <td>0.043228</td>\n",
       "      <td>0.053644</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>19 rows × 32 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Ano        T1        T2        T3        T4        T5        T6  \\\n",
       "0  2000.0  0.005188  0.056448  0.007666  0.042365  0.012134  0.047743   \n",
       "0  2001.0  0.012725  0.067559  0.007152  0.052741  0.016085  0.026580   \n",
       "0  2002.0  0.006010  0.092735  0.012969  0.069685  0.028372  0.040740   \n",
       "0  2003.0  0.006012  0.147100  0.008083  0.066831  0.035696  0.022011   \n",
       "0  2004.0  0.010521  0.198802  0.005156  0.097763  0.037276  0.029581   \n",
       "0  2005.0  0.013532  0.143243  0.008998  0.084017  0.035663  0.022202   \n",
       "0  2006.0  0.015636  0.113478  0.010377  0.038523  0.040100  0.047599   \n",
       "0  2007.0  0.016681  0.079700  0.015676  0.037635  0.030679  0.024141   \n",
       "0  2008.0  0.028392  0.072790  0.057107  0.042750  0.031701  0.034864   \n",
       "0  2009.0  0.030827  0.086566  0.020509  0.031986  0.017102  0.033005   \n",
       "0  2010.0  0.015435  0.129931  0.031138  0.033905  0.023736  0.066093   \n",
       "0  2011.0  0.010505  0.130385  0.005346  0.020231  0.034440  0.061822   \n",
       "0  2012.0  0.021402  0.071878  0.014593  0.014650  0.022606  0.033887   \n",
       "0  2013.0  0.028162  0.055922  0.011238  0.026637  0.076115  0.045006   \n",
       "0  2014.0  0.038492  0.050831  0.023320  0.014648  0.017514  0.039278   \n",
       "0  2015.0  0.054073  0.070843  0.028316  0.013288  0.020239  0.030525   \n",
       "0  2016.0  0.045290  0.115868  0.152284  0.013210  0.018316  0.009691   \n",
       "0  2017.0  0.018240  0.082074  0.125282  0.007724  0.012269  0.018630   \n",
       "0  2018.0  0.018477  0.062322  0.053846  0.017219  0.009717  0.017379   \n",
       "\n",
       "         T7        T8        T9  ...         T22       T23       T24  \\\n",
       "0  0.014708  0.002734  0.007712  ...    0.049018  0.005893  0.022601   \n",
       "0  0.022984  0.002369  0.004853  ...    0.062190  0.012406  0.010751   \n",
       "0  0.026730  0.002205  0.009706  ...    0.041824  0.007297  0.014500   \n",
       "0  0.026245  0.001295  0.004028  ...    0.032847  0.003056  0.031250   \n",
       "0  0.033683  0.000883  0.004975  ...    0.011138  0.014149  0.020713   \n",
       "0  0.005548  0.003661  0.007219  ...    0.004469  0.008738  0.008005   \n",
       "0  0.024819  0.005237  0.013426  ...    0.038322  0.035899  0.013175   \n",
       "0  0.031252  0.011613  0.015273  ...    0.048658  0.023788  0.015050   \n",
       "0  0.038987  0.022867  0.024976  ...    0.033159  0.024593  0.048476   \n",
       "0  0.042875  0.004367  0.009810  ...    0.027743  0.021462  0.035414   \n",
       "0  0.050550  0.000938  0.009570  ...    0.045570  0.010316  0.022320   \n",
       "0  0.046585  0.002708  0.012738  ...    0.057294  0.011068  0.019048   \n",
       "0  0.038221  0.002350  0.011724  ...    0.074607  0.009206  0.006555   \n",
       "0  0.039423  0.004970  0.019642  ...    0.044101  0.011244  0.013667   \n",
       "0  0.046477  0.005528  0.020367  ...    0.122285  0.025348  0.011797   \n",
       "0  0.060609  0.015843  0.022074  ...    0.027343  0.043839  0.009631   \n",
       "0  0.056894  0.029040  0.023738  ...    0.004882  0.024230  0.008061   \n",
       "0  0.062789  0.061350  0.016602  ...    0.007713  0.019095  0.004746   \n",
       "0  0.041525  0.132019  0.031751  ...    0.013732  0.036576  0.004163   \n",
       "\n",
       "        T25       T26       T27       T28       T29       T30  Total  \n",
       "0  0.012788  0.024421  0.004100  0.061434  0.328089  0.005659    1.0  \n",
       "0  0.012602  0.025439  0.000838  0.069853  0.323447  0.009412    1.0  \n",
       "0  0.013981  0.006600  0.001013  0.032037  0.330674  0.006249    1.0  \n",
       "0  0.018165  0.006961  0.001909  0.044382  0.274050  0.007124    1.0  \n",
       "0  0.019660  0.007375  0.003889  0.033242  0.178958  0.009999    1.0  \n",
       "0  0.052906  0.018355  0.006500  0.005030  0.174393  0.003934    1.0  \n",
       "0  0.044135  0.008707  0.001963  0.046482  0.204178  0.005235    1.0  \n",
       "0  0.068677  0.021392  0.011663  0.026221  0.155166  0.015537    1.0  \n",
       "0  0.026925  0.021738  0.022914  0.026822  0.081818  0.024609    1.0  \n",
       "0  0.060173  0.011242  0.004568  0.031145  0.134909  0.015345    1.0  \n",
       "0  0.063102  0.016306  0.002952  0.023250  0.145011  0.007322    1.0  \n",
       "0  0.074113  0.028921  0.002967  0.034737  0.142532  0.005863    1.0  \n",
       "0  0.061748  0.027778  0.005292  0.024007  0.075201  0.010692    1.0  \n",
       "0  0.070511  0.036084  0.011342  0.025429  0.085945  0.013282    1.0  \n",
       "0  0.063444  0.032026  0.006338  0.019003  0.057089  0.028232    1.0  \n",
       "0  0.058767  0.063316  0.004648  0.014263  0.056347  0.023782    1.0  \n",
       "0  0.028261  0.025372  0.009762  0.015250  0.036778  0.020170    1.0  \n",
       "0  0.046531  0.016673  0.005659  0.006549  0.035434  0.016628    1.0  \n",
       "0  0.078488  0.024469  0.016660  0.010138  0.043228  0.053644    1.0  \n",
       "\n",
       "[19 rows x 32 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# compute avg theta given documents interval and total number of topics\n",
    "# return: list containing avg probability for each topic (list length: no_topics)\n",
    "def compute_avg_theta(range_init, range_end, no_topics):\n",
    "    topics_list = [0.0] * no_topics\n",
    "    total = range_end - range_init\n",
    "    total_sum = 0\n",
    "    for i, row in enumerate(lda_model[corpus]):    \n",
    "        if i in range(range_init,range_end):\n",
    "            for j, (topic_num, prop_topic) in enumerate(row):\n",
    "                topics_list[topic_num] += prop_topic\n",
    "    for i, prop in enumerate(topics_list):\n",
    "        topics_list[i] = prop / total\n",
    "        total_sum += topics_list[i]\n",
    "        \n",
    "    ## normalize with remaining\n",
    "    remaining = 1.0 - total_sum\n",
    "    add_each = remaining / len(topics_list)\n",
    "    \n",
    "    total_sum = 0\n",
    "    for i, val in enumerate(topics_list):\n",
    "        topics_list[i] = val+add_each\n",
    "        total_sum += topics_list[i]\n",
    "    \n",
    "    if total_sum > 1.0:\n",
    "        previous = topics_list[0]\n",
    "        topics_list[0] -= (total_sum - 1.0)\n",
    "        total_sum -= (previous-topics_list[0])\n",
    "        \n",
    "    return total_sum, topics_list\n",
    "\n",
    "def build_thetas(topics_list, total_sum, year):\n",
    "    thetas_df = pd.DataFrame()\n",
    "    thetas_df = thetas_df.append(pd.Series([int(year)]), ignore_index=True)\n",
    "    for i in range(num_topics):\n",
    "        theta_topic = pd.Series(topics_list[i])\n",
    "        thetas_df = pd.concat([thetas_df, theta_topic], axis=1)\n",
    "    total_sum_topic = pd.Series(total_sum)\n",
    "    thetas_df = pd.concat([thetas_df, total_sum_topic], axis=1)\n",
    "    list_columns = ['Ano']\n",
    "    for i in range(1,num_topics+1):\n",
    "        topic_id = 'T' + str(i)\n",
    "        list_columns.append(topic_id)\n",
    "    list_columns.append('Total')\n",
    "    thetas_df.columns = list_columns\n",
    "    return thetas_df\n",
    "    \n",
    "def plot_chart(topics_list,year):\n",
    "    plt.rcParams['figure.figsize'] = [15, 1]\n",
    "    fig = plt.figure()\n",
    "    ax = fig.add_subplot(111)\n",
    "\n",
    "    N = len(topics_list)\n",
    "\n",
    "    ind = np.arange(0,N)            \n",
    "    width = 0.7                     \n",
    "\n",
    "    rects1 = ax.bar(ind, topics_list, width,color='blue')\n",
    "\n",
    "    ax.set_xlim(-width,len(ind)+width)\n",
    "    ax.set_ylim(0,0.15)\n",
    "    ax.set_ylabel('Theta')\n",
    "    ax.set_title(year)\n",
    "    xTickMarks = ['T'+str(i) for i in range(1,45)]\n",
    "    ax.set_xticks(ind)\n",
    "    xtickNames = ax.set_xticklabels(xTickMarks)\n",
    "    plt.setp(xtickNames, rotation=45, fontsize=10)\n",
    "\n",
    "    plt.show()\n",
    "    \n",
    "    \n",
    "year = 2000\n",
    "thetas_df_final = pd.DataFrame()\n",
    "for i in range(len(indexes)-2):\n",
    "    index = indexes[i]\n",
    "    total_sum, topics_list = compute_avg_theta(index,indexes[i+1],lda_model.num_topics)\n",
    "    thetas_df = build_thetas(topics_list, total_sum, year)\n",
    "    thetas_df_final = thetas_df_final.append(thetas_df)\n",
    "    plot_chart(topics_list,year)\n",
    "    year += 1\n",
    "    \n",
    "i = len(indexes)-2\n",
    "index = indexes[i]\n",
    "total_sum, topics_list = compute_avg_theta(index,indexes[i+1],lda_model.num_topics)\n",
    "thetas_df = build_thetas(topics_list, total_sum, year)\n",
    "thetas_df_final = thetas_df_final.append(thetas_df)\n",
    "plot_chart(topics_list,year)\n",
    "\n",
    "thetas_df_final"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exporta resultados para arquivos .csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "thetas_df_final.to_csv('media-anatel-option1-thetas.csv',index=False)\n",
    "topics_df.to_csv('media-anatel-option1-topics.csv',index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "topics_df_transpose = pd.DataFrame()\n",
    "topn_words = 30\n",
    "\n",
    "header = ['Topico']\n",
    "for i in range(1,topn_words+1):\n",
    "    header.extend([i])\n",
    "for topic_num in range(num_topics):\n",
    "        topic_row = lda_model.show_topic(topic_num,topn_words)\n",
    "        \n",
    "        my_list = ['T'+(str(topic_num+1))]\n",
    "        for word,prop in topic_row:\n",
    "            my_list.extend([word])\n",
    "        topics_df_transpose = topics_df_transpose.append(pd.Series(my_list), ignore_index=True)\n",
    "topics_df_transpose.columns = header\n",
    "\n",
    "writer = pd.ExcelWriter('media-anatel-option1.xlsx')\n",
    "topics_df_transpose.T.to_excel(writer,'media-anatel-option1-topics',index=False,header=False)\n",
    "thetas_df_final.to_excel(writer,'media-anatel-option1-thetas',index=False)\n",
    "writer.save()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Tópicos na forma de word cloud (o tamanho da fonte indica a relevância da palavra no tópico):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a5039c5f8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def generate_wordcloud_and_plot(d):\n",
    "    from wordcloud import WordCloud\n",
    "    import matplotlib.pyplot as plt\n",
    "    \n",
    "    ##wordcloud = WordCloud().generate_from_frequencies(frequencies=d)\n",
    "    ##plt.imshow(wordcloud, interpolation='bilinear')\n",
    "    ##plt.axis(\"off\")\n",
    "\n",
    "    # lower max_font_size\n",
    "    wordcloud = WordCloud(max_font_size=40,background_color='white').generate_from_frequencies(frequencies=d)\n",
    "    plt.figure()\n",
    "    plt.imshow(wordcloud, interpolation=\"bilinear\")\n",
    "    plt.axis(\"off\")\n",
    "    plt.show()\n",
    "\n",
    "    # The pil way (if you don't have matplotlib)\n",
    "    # image = wordcloud.to_image()\n",
    "    # image.show()\n",
    "    \n",
    "def generate_wordcloud(d):\n",
    "    from wordcloud import WordCloud\n",
    "    import matplotlib.pyplot as plt\n",
    "    \n",
    "    wordcloud = WordCloud(max_font_size=220,width=2400, height=1200,background_color='black',colormap='tab10').generate_from_frequencies(frequencies=d)\n",
    "    return wordcloud\n",
    "    \n",
    "    \n",
    "    \n",
    "def build_frequencies_topics(no_top_words):\n",
    "    from wordcloud import WordCloud\n",
    "    import matplotlib.pyplot as plt\n",
    "    \n",
    "    f = plt.figure(figsize=(20,10))\n",
    "    for topic_idx in range(0,num_topics):\n",
    "        d = {}\n",
    "        topic_tuple = lda_model.show_topic(topic_idx,no_top_words)\n",
    "        for (topic, weight) in topic_tuple:\n",
    "            d[topic] = weight\n",
    "        #print ('Tópico %d:' % topic_idx)\n",
    "        wordcloud = generate_wordcloud(d)\n",
    "\n",
    "        f.add_subplot(7,6, topic_idx+1)\n",
    "        plt.text(0, -15, 'Tópico %d' % (topic_idx+1), fontsize=10)\n",
    "        plt.imshow(wordcloud, interpolation=\"bilinear\")\n",
    "        plt.axis(\"off\")\n",
    "        \n",
    "    plt.show(block=True)\n",
    "    f.savefig('media-anatel-wordcloud-1.eps')\n",
    "    f.savefig('media-anatel-wordcloud-1.png')\n",
    "\n",
    "    #plt.figure()\n",
    "    #f, axarr = plt.subplots(2,2)\n",
    "    #axarr[0,0].imshow(wordcloud, interpolation=\"bilinear\")\n",
    "\n",
    "    #plt.figure()\n",
    "    #plt.imshow(wordcloud, interpolation=\"bilinear\")\n",
    "    #plt.axis(\"off\")\n",
    "    #plt.show()\n",
    "    \n",
    "build_frequencies_topics(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
